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Data Science Courses In Thane
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Top 10 Data Science Courses in Thane with Placement
Welcome to our list of the Top 10 Data Science Course Institutes in Thane!
Thane, situated in the state of Maharashtra, is a vibrant city neighboring Mumbai. Known for its rapid development, it has evolved from a modest suburb into a significant economic and technological center. The city’s skyline is adorned with tall buildings housing multinational corporations, technology parks, and shopping complexes.
Thane epitomizes India’s economic progress, attracting a diverse populace seeking career prospects. It seamlessly combines modern infrastructure with a rich cultural heritage, featuring upscale residential areas, educational institutions, and entertainment avenues. However, amidst its rapid growth, Thane faces challenges such as traffic congestion and environmental issues.
The future of Data Science in Thane holds promise as the city solidifies its position as a prominent business and tech hub. With an increasing demand for data-driven insights across sectors like IT, finance, and healthcare, Thane is poised to witness a rising need for proficient data scientists.
As businesses embrace digital transformation, the significance of data science in shaping strategic decisions and optimizing operational efficiency is expected to escalate. This upward trend indicates favorable prospects for professionals in Thane’s data science landscape, making it a focal point for career opportunities and innovation in this swiftly evolving digital era.
This article aims to discuss the Top 10 Data Science Courses in Thane, highlighting their significance and the advantages of pursuing these courses in Thane, India. Let’s delve into it.
Comparison Chart: Top 10 Data Science Courses in Thane with Placement.
If you are looking for the best and most reliable information regarding Data Science courses in Thane, then you have come to the right place.
Institute Rank | Name | Training Delivery Type | Offering Course Since | Fees | Placement Assistance |
1 | Digiperform- Digital Career Academy | Online & Offline | 2014 | INR 30k-90k | 100%* |
2 | Imarticus Learning Thane | Online| Offline |
2012 | INR 2,25,000 | 100% |
3 | Boston Institute of Analytics | Online| Offline |
2019 | INR 75,000-555,000 | 100% |
4 | ExcelR | LIVE VIRTUAL CLASSROOM | 2016 | INR 84999 | 100% |
5 | Etlhive | Online| Offline |
2013 | INR 45,000 + 18% GST | 100% |
6 | Learning 360 Academy | Online| Offline |
2015 | INR 49,999 | 100% |
7 | QUASTECH | Offline | 2014 | INR 45,999 | 100% |
8 | QuickXpert Infotech | Online| Offline |
2014 | INR 69,999 | 100% |
9 | Ignicia Technologies | Online| Offline |
2015 | INR 60,000 + 18% GST | 100% |
10 | DeveLearn Institute | Online| Offline |
2017 | INR 2,00,000 + 18% GST | 100% |
What is Data Science and its Importance?
Data science is an interdisciplinary field that encompasses the collection, preparation, analysis, visualization, management, and interpretation of data. It draws on techniques and knowledge from statistics, computer science, domain expertise, and other disciplines to extract meaningful insights from data. These insights can be used to make informed decisions, solve complex problems, and improve processes in a wide range of industries and applications.
Data science is becoming increasingly important in today’s world as the volume and complexity of data continue to grow. Businesses are using data science to gain a competitive edge, improve customer satisfaction, and make better decisions. Governments are using data science to inform policy, improve public services, and combat crime. Scientists are using data science to make new discoveries, develop new treatments, and protect the environment. Data science is transforming the way we live, work, and understand the world around us.
Top 10 Data Science Courses in Thane
1. Digiperform
Digiperform is a leading training provider in India, specializing in digital skills. Our comprehensive course curriculum is meticulously developed by a team of over 50 experts with backgrounds in the Data Science industry. We actively collaborate with 450 innovative businesses across Asia to gather input and suggestions, ensuring that our courses consistently reflect the latest industry trends.
Our curriculum is carefully tailored to encompass the skills necessary for roles in both small and large Data Science agencies, as well as companies with in-house Data Science teams. At Digiperform, we prioritize a hands-on learning approach. We integrate practical exercises, research tasks, and assignments to offer a well-rounded and pragmatic learning experience.
Why Choose Digiperform Online Data Science Course?
Choosing Digiperform’s Online Data Science Course offers several compelling reasons. Our learning experience prioritizes user-friendliness, meticulously crafted by industry experts to ensure a smooth understanding of intricate concepts.
The course structure is carefully designed based on feedback from 450 businesses, ensuring its relevance in the ever-evolving digital landscape. We emphasize a hands-on approach, integrating practical work, research tasks, and assignments to provide a comprehensive learning journey.
Regardless of whether you come from a scientific, business, or non-technical background, our course is tailored for your success. Join us to unlock the vast realm of data science and embark on a rewarding learning adventure!
Data Science Online Course: Advantages
Enrolling in a Data Science Online Course presents numerous advantages for aspiring professionals. One key benefit is the flexibility it offers, allowing learners to manage their studies alongside existing commitments. The online format ensures accessibility from anywhere, breaking geographical barriers.
These courses often include industry-relevant content, ensuring participants stay updated with the latest trends and technologies in the field. Interactive modules and hands-on assignments enrich practical skills, equipping students for real-world applications. Moreover, online forums and peer interactions cultivate a collaborative learning environment.
With self-paced learning options and round-the-clock access to resources, a Data Science Online Course empowers individuals to embark on a comprehensive and convenient educational journey.
Data Science Course Syllabus
Module 1: Introduction to Data Science | Introduction to the Industry & Buzzwords Industrial application of data science Introduction to different Data Science Techniques Important Software & Tools Career paths & growth in data science |
Module 2: Introduction to Excel
| Introduction to Excel- Interface, Sorting & Filtering,
Excel Reporting- Basic & Conditional Formatting
Essential Excel Formulae
Layouts, Printing and Securing Files |
Module 3: Introduction to Stats
| Introduction to Statistics & It’s Applications Different types of Data Population vs Sample Sampling Techniques Intro: Inferential vs. descriptive statistics |
Module 4: Descriptive Stats Using Excel Datasets | Categorical Variables Visualization Using Excel Charts- FDT, Pie Charts, Bar Charts & Pareto Numerical Variables Visualization of Frequency & Absolute Frequency- Using Histogram, Cross Table & Scatter Plot Measure of Spread ( Mean, Mode , Median) Measure of Variance( Skewness, SD, Variance, Range, Coef. Of Variance, Bivariate Analysis, Covariance & Correlation) |
Module 5: Inferential Stats Using Excel Datasets | Introduction to Probability Permutation & Combinations Types of events Normal distribution Standard Normal distribution Normal vs. Standard Normal distribution Confidence Intervals & Z-Score Hypothesis Testing & It’s Types |
Module 6: Database Design & MySQL | Relational Database theory & Introduction to SQL MySQL Installation Database Creation in the MySQL Workbench Querying in MySQL Joins and Set Operations SQL Practice Case Study Window Functions Case Statements, Stored Routines and Cursors Ø Query Optimisation and Best Practices Ø Problem-Solving Using SQL |
Module 7: Data Visualization Using Advanced Excel
| Introduction LOOKUP functions Pivot Tables WHATIF Analysis Dashboard Creation Recording Macros Advanced Visualizations- PIVOT Charts, Sparklines, Waterfall Charts Data Analysis ToolPak – Regression in Excel |
Module 8: Data Visualization Using Tableau | Introduction to Tableau Introduction What is Data Analytics? Why Data Visualisation? What is Tableau? Why Tableau? Tableau vs Excel and PowerBI Exploratory and Explanatory Analysis Getting started with Tableau Visualizing and Analyzing data with Tableau – I Introduction Bar Charts Line Charts and Filters Area Charts Box plots and Pivoting Maps and Hierarchies Pie Charts Treemaps and Grouping Dashboards Visualizing and Analyzing Data with Tableau – II Introduction Joins and Splits Numeric and String functions Logical and Date functions Histograms and parameters Scatter Plots Dual Axis Charts Top N Parameters and Calculated Fields Stacked bar Charts Dashboards – II and Filter Actions Storytelling Summary |
Module 9: Python Programming
| Installing Anaconda & Basics of Python Introduction to programming languages Compiler vs Interpreter Getting Started With Python Introduction to jupyter Notebooks Identifiers, Keywords Print function Comment, Indentation Data Types Functions Understanding what are functions Defining and calling functions Local and global variables Different types of arguments Map,reduce,filter,lambda and recursive functions Data Structures in Python Introduction Lists Tuples Sets Dictionaries Practice Exercise Summary Operator Input and Output Different Arithmetic , logical and Relational operators Input, Output function Eval function Format Function Control Flow If elif else statement For and while loops Break , continue and Pass statement List and dictionary comprehensions Functions Understanding what are functions Defining and calling functions Local and global variables Different types of arguments Map,reduce,filter,lambda and recursive functions File Handling Purpose of file handling Different function in file handling (open,read, write,close) Different modes (r,w,a,r+,w+,a+) With block Exception Handling, OOPX & Regex What is exception handling Try, except, else and finally block Different types of Exception Concept of Oops Different functions in Regex Metacharacters in Regex |
Module 10: Python For Data Science | NumPy Introduction to NumPy Basics of NumPy Operations Over 1-D Arrays Practice Exercise I Multidimensional Arrays Creating NumPy Arrays Mathematical Operations on NumPy Mathematical Operations on NumPy II Computation Times in NumPy vs Python Lists Practice Exercise II Pandas Introduction to Pandas Basics of Pandas Pandas – Rows and Columns Describing Data Indexing and Slicing Operations on Dataframes Groupby and Aggregate Functions Merging DataFrames Pivot Tables Practice Exercise |
Module 11: Data Visualization Using Python- Matplotlib & Seaborn
| Introduction to Data Visualisation with Matplotlib Introduction to Matplotlib The Necessity of Data Visualisation Visualisations – Some Examples Facts and Dimensions Bar Graph Scatter Plot Line Graph and Histogram Subplots Choosing Plot Types Summary Data Visualisation: Case Study Introduction Case Study: Mind Map Case Study Overview Data Handling and Cleaning: I Data Handling and Cleaning: II Sanity Checks Outliers Analysis with Boxplots Histograms Summary Practice Questions Data Visualization with Seaborn Introduction Distribution Plots Styling Options Pie – Chart and Bar Chart Scatter Plots Pair Plots Revisiting Bar Graphs and Box Plots Heatmaps Line Charts Stacked Bar Charts Case Study Summary Plotly Practice Questions |
Module 12: Exploratory Data Analysis | Data Sourcing Module Introduction Introduction to EDA Public and Private Data Private Data Public Data Web Scraping-I Web Scraping-II Summary Data Cleaning Introduction Data Types Fixing the Rows and Columns Impute/Remove Missing Values Handling Outliers Standardising Values Fixing Invalid Values and Filter Data Practice Questions Summary Univariate Analysis Introduction to Univariate Analysis Categorical Unordered Univariate Analysis Categorical Ordered Univariate Analysis Statistics on Numerical Features Graded Questions Summary Bivariate and Multivariate Analysis Introduction Numeric – Numeric Analysis Correlation vs Causation Numerical – Categorical Analysis Categorical – Categorical Analysis Multivariate Analysis Graded Questions Summary Module Summary |
Module 13: Supervised Learning Model - Regression | Introduction to Simple Linear Regression Introduction to Simple Linear Regression Introduction to machine learning Regression line Best fit line Strength of simple linear regression Simple linear regression in python Assumptions of simple linear regression Reading and understanding the data Hypothesis testing in linear regression Building a linear model Residue analysis and predictions Linear Regression using SKLearn Multiple Linear Regression Motivation-when one variable is not enough Moving from SLR to MLR-new considerations Multi collinearity Dealing with categorical variables Model assessment in comparison Feature selection Multiple Linear Regression in Python Reading and understanding the data Data preparation Initial steps Building the model I & II Residue analysis and predictions Variable selection using RFE Industry Relevance of Linear Regression Linear regression revision Prediction versus projection Media company case study Exploratory data analysis Model building - I, II & III Assessing the model Interpreting the results |
Module 14: Supervised Learning Model - Classification | Univariate Logistic Regression Binary classification Sigmoid curve Finding the best fit sigmoid curve - I Finding the best fit sigmoid curve - II Odds and log Odds Multivariate Logistic Regression - Model Building Multivariate Logistic Regression - Model Building Data cleaning and preparation - I & II Building your first model Feature elimination using RFE Confusion metrics and accuracy Manual feature elimination Multivariate Logistic Regression - Model Evaluation Multivariate Logistic Regression - Model Evaluation Metrics beyond accuracy-sensitivity and specificity Sensitivity and specificity in Python Understanding ROC curve ROC curve in python Finding the optimal threshold Model evaluation metrics - exercise Precision and recall Making predictions Logistic Regression - Industry Applications - Part I Getting familiar with logistic regression Nuances of logistic regression-sample selection Nuances of logistic regression-segmentation Nuances of logistic impression-variable transformation-I, II & III Logistic Regression: Industry Applications - Part II Model evaluation - A second look Model validation and importance of stability Tracking of model performance over time Logistic Regression - Industry Applications - Part II Commonly face challenges in implementation of logistic regression Model evaluation - A second look Model validation and importance of stability Tracking of model performance over time |
Module 15: Advanced Machine Learning | Unsupervised Learning: Clustering Introduction to Clustering K Means Clustering Executing K Means in Python Hierarchical Clustering Business Problem Solving Introduction to Business Problem Solving Case Study Demonstrationchurn example Practice Questions Tree Models Introduction to Decision Trees Algorithms for Decision Tree Construction Hyperparameter Tuning in Decision Trees Ensembles and Random Forests Time Series Forecasting - I (BA) Introduction to Time Series Smoothing Techniques Time Series Forecasting - II (BA) Introduction to AR Models Building AR Models Model Selection Principles of Model Selection Model Building and Evaluation |
Module 16: AI- NLP, Neural Networks & Deep Learning | Introduction to NLP What is NLP? History and evolution of NLP Applications of NLP Challenges in NLP Overview of NLP pipeline Corpus and Corpus Linguistics NLTK Toolkit Introduction to the NLTK toolkit Preprocessing text data with NLTK Basic NLP tasks using NLTK (e.g., Part-ofSpeech Tagging, Named Entity Recognition) Stemming and Lemmatization WordNet in NLTK Chunking and Chinking Sentiment Analysis with NLTK Tokenization and Topic Modeling Tokenization in NLP Bag-of-Words representation Topic Modeling with LDA Latent Semantic Analysis Word Embeddings Sentiment Analysis Project: Introduction to Sentiment Analysis Sentiment Analysis using supervised and unsupervised methods Building a Sentiment Analysis model with Python Evaluating Sentiment Analysis models AI vs Deep Learning vs ML Introduction to Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) Applications of AI, ML, and DL Differences between AI, ML and DL The Concept of Neural Networks Introduction to Neural Networks Types of Neural Networks Layers in Neural Networks Activation Functions Neural Networks - Feed-forward, Convolutional, Recurrent Feed-forward Neural Networks Convolutional Neural Networks Recurrent Neural Networks Applications of Neural Networks Deep Learning Project Building a Deep Learning model with Python Image Classification with Convolutional Neural Networks Natural Language Processing with Recurrent Neural Networks |
Data Science Projects and Assignments
Major Projects
Customer Lifetime Value Calculation: The project involves calculating the customer lifetime value using SQL to understand the revenue generated by a customer over their lifetime.
Customer Churn Prediction: This project involves building a predictive model using SQL to identify customers who are likely to churn based on their behavior and transaction history.
Interactive Dashboard for E-Commerce Sales: The project involves creating an interactive dashboard using Tableau & SQL to analyze retail sales data, identify trends, and make data-driven decisions.
Customer Segmentation Dashboard: This project involves creating a customer segmentation dashboard using Tableau to identify customer groups based on demographics, behavior, and purchasing patterns.
Movie Recommendation System: The project involves building a movie recommendation system using Python and its libraries such as Pandas, NumPy, and Scikit-Learn. The recommendation system will suggest movies based on user preferences and ratings.
Sentiment Analysis on Twitter Data: This project involves analyzing Twitter data using Python and its libraries such as NLTK and TextBlob to perform sentiment analysis and understand the overall sentiment of a particular topic.
Visualizing COVID-19 Data: The project involves visualizing COVID-19 data using Python and its libraries such as Matplotlib, Seaborn, and Plotly to understand the impact of the pandemic on different countries and regions.
Visualizing Stock Market Data: This project involves visualizing stock market data using Python and its libraries such as Pandas, Matplotlib, and Bokeh to understand the trends and patterns in stock prices over time.
Airbnb Data Analysis: The project involves performing exploratory data analysis on Airbnb data to understand the patterns in the pricing, availability, and quality of Airbnb listings in different cities.
Bike Sharing Data Analysis: This project involves performing exploratory data analysis on bike sharing data to understand the usage patterns of bikes in different cities and identify factors that influence bike usage.
House Price Prediction: The project involves building a regression model using Python and its libraries such as Scikit-Learn to predict the prices of houses based on their features such as location, size, and amenities.
Credit Risk Prediction: This project involves building a classification model using Python and its libraries such as Scikit-Learn to predict the credit risk of loan applicants based on their credit history and other factors.
Time Series Forecasting for Sales Data: The project involves building a time series forecasting model using advanced machine learning algorithms such as ARIMA and LSTM to predict future sales trends and identify factors that influence sales.
Sentiment Analysis on Product Reviews: The project involves building a sentiment analysis model using NLP techniques such as Word Embeddings and Recurrent Neural Networks (RNN) to analyze product reviews and understand the sentiment of customers towards different products.
Segmentation using Deep Learning: This project involves using advanced deep learning techniques such as Fully Convolutional Networks (FCN) and U-Net to perform image segmentation and identify objects in images.
Machine Translation using Transformers: This project involves building a machine translation model using advanced deep learning techniques such as Transformers to translate text from one language to another.
Case Studies & Assignments:
- Healthcare Customer Feedback Analysis
- Management Teams Dashboard Creation
- Retail Store Sales Report Analysis
- Software Firm Employee Data Analysis
- Industrial Data Sets Classification & Comparison
- Charts & Graphs: Frequency Distribution Table, Pie-charts, Pareto Diagram, Histogram, Scatter Plots, Heatmaps, Bar Graphs and many More.
- Patient Disease Probability Analysis Using Healthcare Data
- Car Model & Menu Item Data Combination & Configuration Probability Analysis
- Manufacturing & Product Launch Data Classification & Analysis
- Customer Complaint Resolution Analysis Using Normal Distribution Curves
- Product Rating & Employee Productivity Analysis Usign Z-Score
- New Product Need Analysis Using Hypothesis Testing
- Inventory Management & Customer Segmentation Systems Using Vlook up & Hlook Lookup
- Sales Trend & Staffing Plan Creation using Pivot Tables
- Pricing Strategy & Financial Model Creation Using What if Analysis
- Sales & Operations Dashboard Creation
- Healthcare & Construction Reporting Automation Using Macros
- Retail Sales Opportunity Analysis Using PIVOT Charts
- Accounting Firm Statement Analysis Using Sparklines & Waterfall Chart
- FMCG Marketing Spend to Sales Revenue Impact Analysis Using Regression Analysis
- Transportation Pricing Model Using Regression Analysis
Data Science Placements
100% * Placement Assistance Dedicated Placement Cell To Help You Land Your Dream Job
Data science course fees
Master Program in Data Science Fees: 30k-90k
Contact Information
Digiperform Corporate Office: C-30, Third Floor, Sector-2, Near Sec-15 Metro Station, Noida, Uttar Pradesh 201301, India
Email: contact@digiperform.com
Phone: +91-8527-611-500
Website: www.digiperform.com
2. Imarticus Learning
Imarticus Learning Institute, established in 2012, is renowned for its multifaceted approach to student development. Focused on enhancing skills through comprehensive training, the institute excels in teaching technical subjects. Offering programs designed for individuals seeking new technical skills and career-boosting certifications, they provide certifications, professional degrees, and postgraduate courses in Finance, Analytics, Technology, and Management.
Learning options include physical classroom sessions or online modules, led by certified professionals. Imarticus offers various learning pathways such as regular classes, online learning, and personalized mentorship programs, catering to diverse learning preferences.
Course Curriculum:
- Foundation
- Core Track
- SQL
- Python Programming
- Statistics for Data Science
- Machine Learning
- Data Visualization with Tableau and Power BI
Course Highlights:
- KPMG India COE Organized Hackathons
- Live Learning Module
- Real-world Projects
- 100% Job Assurance
- Job-specific Curriculum
- Dedicated Career Services
Name | Postgraduate Program In Data Science And Analytics |
Course Duration | 6 Months |
Website | www.imarticus.org |
Address: | 2nd Floor, Shrushti Pride, Above Bank of Baroda, Ram Maruti Road, Opposite Rajmata Vada Pav Centre, Thane West, Maharashtra-400604 Mob: +91 9953823020 |
Avg. Google Rating: | 5 |
Offering DS Training in Thane Since: | 2012 |
Fees | INR 75,000 |
Branches in India: | Mumbai, Bangalore, Pune, Delhi, Gurugram, Jaipur, Hyderabad, Chennai, Lucknow, Cochin |
Flagship Course Names: | Yes |
Exclusive Data Science Institute: |
|
Training Delivery Model | Online /Offline |
3. Boston Institute of Analytics
The Boston Institute of Analytics (BIA) is a global leader in advanced technology training. BIA provides classroom and online training in a variety of in-demand fields, including data science, artificial intelligence, cloud computing, cybersecurity, and web development. BIA has campuses in Boston, London, Dubai, Doha, Mumbai, Bengaluru, Delhi, Lahore, and more.
Course Curriculum:
INDUCTION
- Explore Data Science Opportunities
- Gain Career-Ready Skills
- Software Installation
- Practical Exercise: Set up the required software tools and environment (Anaconda, Jupyter, etc.) on your computer.
FUNDAMENTALS OF EXCEL
- Master Data Cleaning Techniques
- Visualize Data with Excel Charts
- Efficient Subtotaling and Analysis
- Practical Exercise: Clean and analyze a provided dataset using Excel’s basic functions and charts.
ADVANCED EXCEL
- Pivot Tables for Data Summarization
- Data Analysis and Visualization
- Data Linking for Comprehensive Reports
- Practical Exercise: Create a Pivot Table and build advanced charts to analyze data from different angles.
PYTHON FUNDAMENTALS
- Python Basics and Operators
- Control Flow with Conditional Statements
- Python Data Types and Structures
- Practical Exercise: Write Python code to solve simple programming problems, focusing on variables and operators.
LOOPS & FUNCTIONS IN PYTHON
- Iterate with Loops in Python
- Create and Use Python Functions
- Advanced Data Manipulation with Lambda
- Practical Exercise: Implement loops and functions to perform tasks such as data processing and automation.
NUMPY FUNDAMENTALS
- Work with NumPy Arrays
- Efficient Indexing and Slicing
- Filtering and Boolean Indexing
- Practical Exercise: Work with NumPy arrays to perform basic array operations, indexing, and filtering.
DATA MANIPULATION WITH PANDAS & DATA VISUALIZATION
- Master Pandas Data Structures
- Explore Data and Visualize Insights
- Introduction to Version Control with Git
- Practical Exercise: Load and explore a dataset using Pandas, and create basic data visualizations using Matplotlib and Seaborn.
INTRODUCTION TO SQL & BASIC QUERYING
- SQL for Data Retrieval
- Data Modeling Fundamentals
- Advanced Data Sorting and Filtering
- Practical Exercise: Write SQL queries to retrieve and manipulate data from a sample database.
ADVANCED SQL CONCEPT & DATA MANIPULATION
- Temporary Tables and Documentation
- Aggregations and Grouping Data
- Advanced SQL Operations and Joins
- Practical Exercise: Perform more complex SQL operations, such as joining and aggregating data.
FUNDAMENTALS OF STATISTICS & PROBABILITY
- Understand Data Types
- Central Tendency and Variance
- Probability and Distribution Basics
- Practical Exercise: Calculate mean, median, variance, and standard deviation for a dataset.
ADVANCED STATISTICS & HYPOTHESIS TESTING
- Hypothesis Testing Techniques
- Interpret Data Visualizations
- Correlation, Regression, and ANOVA
- Practical Exercise: Perform hypothesis tests and analyze real datasets using statistical techniques.
INTRODUCTION TO MACHINE LEARNING AND REGRESSION BASICS
- Dive into Machine Learning
- Data Preprocessing Essentials
- Linear Regression for Predictive Modeling
- Practical Exercise: Implement a simple linear regression model and evaluate its performance.
MULTIPLE LINEAR REGRESSION & MODEL EVALUATION
- Evaluate Models with MAE, MSE, RMSE
- Multiple Linear Regression
- Practical Model Evaluation with Real Data
- Practical Exercise: Build and evaluate a multiple linear regression model using a real-world dataset.
LOGISTIC REGRESSION AND CLASSIFICATION METRICS
- Master Logistic Regression
- Classification Metrics for Model Assessment
- ROC Curves and Model Performance
- Practical Exercise: Train and evaluate logistic regression models for binary and multiclassclassification problems.
DECISION TREES AND ENSEMBLE METHODS
- Understand Decision Trees
- Prevent Overfitting and Tree Pruning
- Explore Random Forest and Gradient Boosting
- Practical Exercise: Create decision tree models and explore the power of ensemble methods.
MODEL EVALUATION AND VALIDATION TECHNIQUES
- K-Fold Cross-Validation
- Hyperparameter Tuning
- In-Depth Classification Metrics
- Practical Exercise: Apply K-fold cross-validation and hyperparameter tuning to improve model performance.
UNSUPERVISED LEARNING
- Discover K-Means Clustering
- Hierarchical Clustering Techniques
- Clustering for Data Insights
- Practical Exercise: Implement K-Means clustering and hierarchical clustering on real data.
DIMENSIONALITY REDUCTION AND FEATURE SELECTION
- Reduce Dimensionality Effectively
- Principal Component Analysis (PCA)
- Feature Engineering for Improved Models
- Practical Exercise: Apply PCA for dimensionality reduction and feature engineering to enhance model performance.
SUPPORT VECTOR MACHINES (SVM) AND K-NEAREST NEIGHBORS (KNN)
- Classification with SVM
- K-Nearest Neighbors for Predictions
- Choose K and Distances
- Practical Exercise: Build and evaluate SVM and KNN models for classifcation problems.
ADVANCED ENSEMBLE LEARNING
- Bagging, Stacking, and Blending
- Explore Advanced Ensemble Algorithms
- Harness the Power of XGBoost and LightGBM
- Practical Exercise: Implement bagging, stacking, and advanced ensemble algorithms like XGBoost and LightGBM on a dataset.
TIME SERIES MODELING WITH ARIMA AND SARIMA
- Understand Time Series Data
- Build ARIMA and SARIMA Models
- Practical Forecasting and Model Evaluation
- Practical Exercise: Analyze and forecast time series data using ARIMA and SARIMA models.
INTRODUCTION TO DEEP LEARNING
- Overview of Artificial Neural Networks
- Basic Deep Learning Concepts
- Build and Train Simple Neural Networks
- Practical Exercise: Build and train a simple neural network on a dataset using popular deeplearning frameworks.
DEEP LEARNING ARCHITECTURES AND TRAINING
- Dive into CNNs and RNNs
- Train Deep Learning Models
- Avoid Overfitting with Regularization
- Practical Exercise: Create and train Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) for various tasks.
NATURAL LANGUAGE PROCESSING (NLP)
- Master NLP Essentials
- Preprocess Text Data
- Create Text Classification Models
- Practical Exercise: Perform text preprocessing and build a text classification model using NLP techniques.
MODEL DEPLOYMENT
- Understand Model Deployment
- Set Up Deployment Environment
- Secure, Monitor, and Optimize Deployed Models
- Practical Exercise: Deploy a machine learning model as a web API and monitor its performance.
INTRODUCTION TO GENERATIVE AI
- Types of Generative Models
- Understanding Generative Adversarial Networks (GANs)
- Understanding Variational Autoencoders (VAE)
- Practical Exercise: Setting-up Python Environment and Deep Learning Libraries.
TEXT GENERATION WITH RECURRENT NEURAL NETWORKS (RNNS)
- Introduction to Text Generation
- Best Practices to Review Creative Text generation
- Common Issues in Training RNNs
- Practical Exercise: Building a text generator using RNNs.
INTRODUCTION TO TRANSFORMERS
- RNN Vs Transformer Models
- Overview of GPT-2 and BERT
- NLP Applications and Text Generation with Transformers
- Practical Exercise: Build a Language Model using GPT-2.
POWER BI
- Introduction to Power BI
- Data Transformation and Modeling
- Create Interactive Dashboards
- Practical Exercise: Transform data and create interactive dashboards in Power BI using real-world datasets.
TABLEAU
- Explore Tableau Prep and Desktop
- Visual Analytics and Calculations
- Design Engaging Dashboards
- Practical Exercise: Develop visualizations and dashboards in Tableau based on provided data.
INTRODUCTION TO R
- Get Started with R
- Work with Variables and Data Types
- Handle Data Frames and Apply Functions
- Practical Exercise: Perform data manipulation and analysis in R, including creating custom functions.
ADVANCED R PROGRAMMING
- Data Frames and Custom Functions
- Master Apply Functions
- Work with Dates and Times in R
- Practical Exercise: Utilize apply functions, handle dates and times, and work with data frames in R.
Course Highlights:
- INDUSTRY APPROVED CURRICULUM
- BECOME INDUSTRY READY
- BIA® ALUMNI STATUS
- LEARN FROM EXPERIENCED INDUSTRY PROFESSIONALS
- LEARN FROM SCRATCH, OR NOT!
- HANDS-ON TRAINING
- 360° DEGREE CAREER SUPPORT
- UNIFIED LEARNING
Name | DATA SCIENCE & ARTIFICIAL INTELLIGENCE |
Course Duration | 4-10 months |
Website | https://www.bostoninstituteofanalytics.org/thane |
Address: | Level 4 Kalpataru Prime, Ambica Nagar, Wagle Industrial Estate, Thane, Maharashtra 400604 Mob: +91 88509 22525 |
Avg. Google Rating: | 5 |
Offering DS Training in Thane Since: | 2019 |
Fees | INR 75,000-555,000 |
Branches in India: | 28+ |
Flagship Course Names: |
|
Exclusive Data Science Institute: | Yes |
Training Delivery Model | Online /Offline |
4. ExcelR
To address the unique needs of these exceptional Data Science professionals, ExcelR has developed an extensive 6-month intensive training course covering all aspects of Data Science and related domains crucial for Team Leaders/Managers and beyond. This program offers hands-on training in essential ETL tools, delves into the intricacies of establishing a Big Data virtual lab, explores the capabilities of Amazon Web Services, and provides practical great teaching experience in real-life scenarios within an agile environment.
Course Curriculum:
- Python
- R studio
- SQL
- Data Collection
- Data Cleansing / Feature Engineering/ Exploratory Data Analysis
- Statistical Analysis
- Hypothesis Testing
- Regression-Linear Regression
- Logistic Regression
- Discrete Probability Distribution
- Advanced Regression
- Forecasting
- Data Visualization with Tableau
- Text Mining
- Learning and artificial intelligence
- Data Mining Supervised- Naïve Bayes
- Machine Learning
- KNN
- SVD
- Decision Tree
- Random Forest
- Bagging And Boosting
- Black-box technique-SVM
- Neural Network
- Data Mining Unsupervised-Clustering
- Association Rule
- Data decomposition Techniques- PCA
- Natural Language Processing
Name | Data Analyst + Data Science |
Course Duration | 6 Months |
Website | www.excelr.com |
Address: | 304, 3rd Floor, Pratibha Building, Three Petrol pump, Opposite Manas Tower, LBS Rd, Pakhdi, Thane West, Thane, Maharashtra 400602 Mob: 9108238354 |
Avg. Google Rating: | 5 |
Offering DS Training in Thane Since: | 2016 |
Fees | INR 84999 |
Branches in India: | 5+ |
Flagship Course Names: |
|
Exclusive Data Science Institute: | Yes |
Training Delivery Model | LIVE VIRTUAL CLASSROOM |
5. Etlhive
Etlhive arrives in Thane, backed by an impressive history of shaping over 22,000 careers across 7 branches, encompassing 50+ classrooms and collaborations with 400+ partner companies. Our prominent courses like Data Analytics and Data Science training in Thane assure 100% placement assistance. We boast a talented pool of Data Scientists who guide you through the latest market trends, supported by a top-tier placement team dedicated to securing positions in leading MNCs. Our audience comprises freshers and working professionals, whether from Non-IT or IT backgrounds, aiming to transition into a career in Data Analytics.
Course Curriculum:
- Basic Python
- Advanced Python
- Data Visualization with Tableau
- Data Visualization with Python
- Data manipulation
- Learning and artificial intelligence
- Introduction to Data Science(Mathematical part)
- Machine Learning(Supervised)
- Machine Learning(Unsupervised)
- Deep Learning
- Capstone projects
- End to End Projects
- Project deployment on Cloud platform
- Resume preparation
- Interview Preparation and mock interviews
- Certification Preparation
- Pre-placement support
Course Highlights:
- Python Programming(Basic and Advanced)
- Data manipulation with pandas & numpy and Data visualisation with Tableau
- Machine Learning with scikit, sklearn, scipy and statsmodels.
- Web scraping and Time Series forecasting
- Text processing, NLP, Image processing with Neural Networks(ANN,RNN,CNN etc.)
- Resume | Interview | Certification preparation for IABAC and IBM certification.
Name | Data Analyst and Data Science |
Course Duration | 6 Months |
Website | https://etlhive.com/ |
Address: | 6 / 602, Ishan Arcade 2, Gokhale Road, Opp Gaondevi Temple Besides McDonalds, near Railway Station, Thane West, Maharashtra 400604 Mob: 8055020011 |
Avg. Google Rating: | 5 |
Offering DS Training in Thane Since: | 2013 |
Fees | INR 45,000 + 18% GST |
Branches in India: | 5+ |
Flagship Course Names: | NA |
Exclusive Data Science Institute: | No |
Training Delivery Model | Online /Offline |
6. Learning 360 Academy
Learning360 is an IT training institute situated in Thane, offering a spectrum of courses including Data Science, Data Analytics, Machine Learning, Web Development, Full Stack Development, MERN Stack, Angular, Python, SQL, React JS, Artificial Intelligence, Embedded Systems, PCB Designing, Software Testing, and Digital Marketing.
Located near the station in Thane, it boasts a team of instructors well-versed in various technologies. Their training approach aids beginners in comprehending concepts and applying them through capstone projects. Many graduates from Learning360 have ventured into significant roles within the industry. If you seek practical learning at an affordable cost, don’t hesitate to reach out to us.
Course Curriculum:
Module 1: Introduction to Data Science
- What is data science?
- The data science process
- The different types of data
- Data collection and cleaning
- Data exploration and visualization
Module 2: Python Programming for Data Science
- Introduction to Python
- Data types and variables
- Operators and control flow
- Functions and modules
- Object-oriented programming
- Working with data in Python
Module 3: Data Manipulation with Pandas
- Introduction to Pandas
- DataFrames
- Series
- Data cleaning and manipulation
- Data analysis and aggregation
Module 4: Data Visualization with Matplotlib and Seaborn
- Introduction to Matplotlib and Seaborn
- Creating basic plots
- Customizing plots
- Advanced plotting techniques
Module 5: Machine Learning with scikit-learn
- Introduction to machine learning
- Supervised learning algorithms
- Unsupervised learning algorithms
- Model evaluation and selection
Module 6: Deep Learning with TensorFlow
- Introduction to deep learning
- Neural networks
- Building and training deep learning models
Module 7: Big Data with Hadoop and Spark
- Introduction to big data
- Hadoop
- Spark
- Big data analytics
Module 8: Cloud Computing for Data Science
- Introduction to cloud computing
- AWS
- Azure
- GCP
- Deploying data science applications to the cloud
Course Highlights:
- Experienced instructors
- Hands-on learning
- Real-world projects
- Career support
Name | Best Data Analytics Certification Course In Thane |
Course Duration | 6 Months |
Website | https://learning360.in/ |
Address: | 318, 3rd floor, Anant Laxmi Chambers, Landmark: opp. Waman Hari Pethe Jewellers, Dada Patil Marg, Thane West, Thane, Maharashtra 400602 |
Avg. Google Rating: | 5 |
Offering DS Training in Thane Since: | 2015 |
Fees | INR 49,999 |
Branches in India: | 1 |
Flagship Course Names: | NA |
Exclusive Data Science Institute: | No |
Training Delivery Model | Online /Offline |
7. QUASTECH
QUASTECH (Future through Innovation) was founded by Mrs. Navdeep Kaur with the aim of supplying proficient and efficient professionals to the IT industry. Our focus lies in training candidates who possess a strong grasp of Software Technology. QUASTECH offers specialized and distinctive training programs tailored for both graduates and postgraduates, specializing in real-time industry training supplemented by domain expertise. Our philosophy revolves around delivering well-structured, systematic, and standardized training modules.
Course Curriculum:
- Advanced Data Wrangling with Pandas and Numpy
- Advanced Data Visualization with Plotly and Bokeh
- Advanced Statistics and Hypothesis Testing with Python
- Time Series Analysis with Python
- Natural Language Processing with Python
- Machine Learning with Python
- Learning and artificial intelligence
- Deep Learning with TensorFlow and Keras
- Big Data and Distributed Computing with PySpark
- Power BI
Name | ADVANCED DATA SCIENCE WITH PYTHON COURSE |
Course Duration | 6 Months |
Website | https://www.quastech.in/index.html |
Address: | 201, Anant Laxmi Chambers, Opp Waman Hari Pethe Jwellers, Dada Patil Wadi RoadThane (W), Maharashtra 400602 Mob: +91 8422800381 |
Avg. Google Rating: | 5 |
Offering DS Training in Thane Since: | 2014 |
Fees | INR 45,999 |
Branches in India: | 3 |
Flagship Course Names: | NA |
Exclusive Data Science Institute: | NO |
Training Delivery Model | Offline |
8. QuickXpert Infotech
QuickXpert Infotech is an IT training institute in India that provides software training, software development, fresher placements, and consultancy services. The company was founded in 2014 and has since trained over 1000 students both in India and globally. QuickXpert Infotech is known for its quality training from experts and its placement assistance. The company offers a wide range of IT courses, including Java, Dot Net Suite, Database Suite, Software Testing Suite, Salesforce Suite, Web Designing, Android, and more. QuickXpert Infotech also offers ISO certified training courses and has a team of experienced IT professionals who are passionate about helping students succeed.
Course Curriculum:
- Python & Python Analytics
- Data Analysis & Machine Learning
- Artificial Intelligence
- SQL
- Power BI
Course Highlights:
- 9+ yrs in IT Training
- Get Trained from Experts
- 100% Job Oriented Programs
- 80% PracticalStudy
- Material / Notes
- Course Completion Certificate
- Live Projects / Case Studies
- Interview Preparation
- Best Placement Service
- 1000+ Companies
Name | Data Science & Analytics Course |
Course Duration | 6 Months |
Website | https://quickxpertinfotech.com/ |
Address: | 101, Prestige Chambers CHS Ltd., opp Thane west rly stn, Besides Maurya Hotel, Thane 400601 Mob: +91-7506252588 +91-7276681665 |
Avg. Google Rating: | 4 |
Offering DS Training in Thane Since: | 2014 |
Fees | INR 69,999 |
Branches in India: | 4+ |
Flagship Course Names: | NA |
Exclusive Data Science Institute: | No |
Training Delivery Model | Online /Offline |
9. Ignicia Technologies
Ignicia Technologies is an software training institute in Thane, Maharashtra, India. The company was founded in 2015 and has since trained over 500 students in a variety of IT courses. Ignicia Technologies is known for its quality training from experts and its placement assistance.
The company offers a wide range of IT courses, including Ethical Hacking, CyberSecurity, CCNA, ORACLE SQL Dba, DataScience, Python, and AWS. Ignicia Technologies also offers ISO certified training courses and has a team of experienced IT professionals who are passionate about helping students succeed.
Course Curriculum:
- Python
- R studio
- SQL
- Collecting Data
- Cleaning Data / Creating Features / Exploring Data
- Analyzing Statistics
- Testing Hypotheses
- Regression: Linear Regression
- Regression: Logistic Regression
- Discrete Probability Distributions
- Advanced Regression Techniques
- Predictive Analysis
- Visualizing Data using Tableau
- Text Analysis
- Supervised Data Mining: Naïve Bayes
- Artificial Intelligence Learning
Name | Data Science with Python |
Course Duration | 4-6 months |
Website | https://ignicia.in/ |
Address: | 201, Ignicia Technologies Pvt Ltd, Symphony Apartment, Chikhalwadi, Kopri, Thane, Maharashtra 400603 Mob: +91 88794 23112 +91 81695 56960 |
Avg. Google Rating: | 5 |
Offering DS Training in Thane Since: | 2015 |
Fees | INR 60,000 + 18% GST |
Branches in India: | 1 |
Flagship Course Names: | NA |
Exclusive Data Science Institute: | No |
Training Delivery Model | Online /Offline |
10. DeveLearn Institute
DeveLearn is an IT training institute situated in Thane, offering an extensive array of courses such as Data Science, Data Analytics, Full Stack Developer, Python, and Java. These courses are available through both in-class sessions and online platforms. Known for its dedication to providing high-quality education, DeveLearn not only imparts knowledge but also provides placement assistance, effectively bridging the gap between learning and career advancement.
It stands out as an excellent option for individuals seeking Data Science courses in Thane or looking to join reputable Data Analytics Institutes in Thane, Mumbai, or those interested in Full Stack Developer Training classes in Thane. DeveLearn ensures a comprehensive and fulfilling teaching experience guided by expert instructors.
Course Curriculum:
Python
- Introduction to Python
- Basic Syntax, Operator
- Data Types
- Conditional Statements
- Loops
- Functions & Recursion
- Object Oriented Programming
- File Handling
- Exception Handling
- Web Scraping
- Libraries
- Database Connectivity
- Statistics & Machine Learning
SQL
- Introduction To Databases
- Introduction To SQL
- SQL Data Manipulation Language
- SQL Data Definition Language
- Filtering and Sorting Data
- Grouping and Aggregating Data
- Joining Tables
- Subqueries
- Set Operations
- SQL Data Control Language
- Transaction Control
Statistics and Machine Learning
- Descriptive & Inferential Statistics
- Probability Distribution
- Confidence Interval
- Hypothesis Testing
- Machine Learning Introduction
- Supervised & Unsupervised Machine Learning
- Linear Regression & Logistic Regression
- Decision Tree & Random forest
- Bagging & Boosting
- Clustering
- Dimension reduction Technique
- Recommendation Engine
- Overfitting & Underfitting
- Model Evaluation Techniques
Artificial Intelligence
- Introduction to Artificial Intelligence
- Introduction to Deep Learning
- Artificial Neural Network (ANN)
- Convolution Neural Network (CNN)
- Recurrent neural Network (RNN)
- Long Short-Term Memory (LSTM)
- Generative Adversarial Network (GAN)
- Natural Language Processing
- Text Preprocessing
- Named Entity Recognition (NER)
- Sentiment Analysis
- Text Summarization
Course Highlights:
- Expertise and Great Teaching Experience
- Comprehensive Course Catalog
- Interactive and Engaging Learning
- Personalized Learning Paths
- Industry-Relevant Projects
- Flexibility and Accessibility
Name | Data Science with AI |
Course Duration | 1 years and 2 months |
Website | https://www.develearn.in/ |
Address: | 702, Panama Planet, Gokhale Rd, Shivaji Path, Naupada, Thane West, Thane, Maharashtra 400602 Mob :+91 9967118298 +91 8850299596 |
Avg. Google Rating: | 5 |
Offering DS Training in Thane Since: | 2017 |
Fees | INR 2,00,000 + 18% GST |
Branches in India: | 2 |
Flagship Course Names: | NA |
Exclusive Data Science Institute: | No |
Training Delivery Model | Online/ Offline |
Who should learn Data Science in Thane?
If you have a fascination for numbers, enjoy solving puzzles, or derive pleasure from uncovering patterns, exploring Data Science in Thane could be an ideal fit for you! This field isn’t solely reserved for computer experts; it’s open to anyone enthusiastic about comprehending and interpreting data.
Whether you’ve recently graduated, are a professional seeking a career transition, or already work in the tech industry and aim to enhance your skill set – Data Science is a welcoming domain for all. Thane, evolving into a burgeoning tech hub, offers an excellent setting to learn and apply these skills across diverse industries.
Hence, if the prospect of unraveling insights from data, predicting future trends, or simply delving into the dynamic realm of analytics piques your interest, Thane provides an inviting atmosphere to embark on the captivating journey of learning Data Science!
Why should you study Data Science?
Studying Data Science opens doors to a realm of possibilities, and here’s why it’s an adventure worth taking! It’s akin to possessing a superpower for comprehending and deciphering information – enabling you to unveil hidden patterns and forecast upcoming trends.
Just envision the prospect of enhancing your favorite apps or aiding doctors in discovering improved treatments using data – that’s the profound impact you can make! Moreover, as businesses worldwide rely heavily on data-driven decision-making, being adept in data analysis turns you into a valuable asset across almost every industry.
It’s not exclusive to computer experts; anyone with curiosity and a penchant for problem-solving can delve into this field. Learning Data Science is akin to obtaining a secret code that unlocks thrilling opportunities, allowing you to actively contribute to shaping the future!
Career Scope in Data Science in Thane
The career scope for Data Science in Thane is robust and promising. With Thane emerging as a burgeoning tech hub, the demand for skilled Data Scientists is on the rise across various industries. Numerous companies in Thane, spanning sectors like finance, healthcare, IT, retail, and more, are actively seeking professionals adept in data analysis, machine learning, and predictive modeling. The city’s proximity to Mumbai’s business landscape further amplifies the opportunities for Data Science professionals, offering a diverse range of job roles and possibilities for career growth.
Moreover, Thane’s dynamic environment fosters innovation and technological advancements, creating a conducive atmosphere for Data Scientists to thrive. The city’s evolving infrastructure and increasing digitalization in industries pave the way for aspiring Data Science enthusiasts to embark on a fulfilling career path, contributing significantly to business strategies, product development, and decision-making processes within Thane’s expanding job market.
Mastering Data Science Tools
Embark on a journey into the world of data science with Digiperform’s ‘Mastering Data Science Tools’ course. This program offers in-depth learning experiences in Python, R programming, and advanced machine learning methods, empowering you to extract crucial insights from data effectively. Gain practical expertise using industry-relevant tools, equipping yourself to solve real-world data challenges. Elevate your skills and expand your career prospects in the data science field through Digiperform’s comprehensive and practical training.
Data Science Salaries for Freshers in Thane
In Thane, the salaries for freshers in Data Science typically vary based on several factors such as the specific role, company, educational background, and skill set. On average, entry-level Data Science positions in Thane offer salaries ranging from INR 4-8 lakhs per annum. However, these figures can fluctuate depending on the demand for Data Science skills in different industries, the candidate’s expertise in areas like programming languages, statistical analysis, machine learning, and their ability to apply these skills to solve real-world problems.
It’s important to note that Thane’s growing tech landscape and proximity to Mumbai’s business sphere contribute to competitive salary offerings for freshers entering the Data Science field. Additionally, continuous learning, gaining hands-on experience through internships or projects, and honing specific Data Science skills can significantly impact salary prospects for individuals starting their careers in Thane’s Data Science sector.
Current Job Openings in Data Science in Thane
Thane’s dynamic job market is abuzz with enticing opportunities in Data Science. Companies are actively seeking skilled professionals to be part of the data-driven revolution. Whether you’re an experienced Data Scientist or starting your career, Thane presents a myriad of job openings catering to various skill levels. From positions in data analysis to machine learning, the city’s tech landscape is diverse, offering opportunities to explore different facets of Data Science.
Companies spanning industries like finance and healthcare are eagerly looking for talent to leverage the potential of data. If you’re passionate about translating numbers into valuable insights, exploring the current job openings in Data Science in Thane could unveil your next career move.
Websites such as Naukri.com, Linkedin.com, Indeed.com, among others, are great resources to begin your search and discover exciting prospects in the Data Science domain.
FAQs: Data Science Course
What are the requirements to enroll in a Data Science certification course?
Individuals with a graduation in any discipline, whether fresh graduates or working professionals, are eligible to enroll in our Data Science certification course. This program caters to those aspiring to begin their career as a Data Scientist or transition from their current role into the field of mainstream analytics.
How can a newcomer pave their way into a Data Science career?
To venture into a Data Science career as a newcomer, start by gaining a strong foundation in programming languages like Python, mastering statistical concepts, and acquiring hands-on experience through projects. Enrolling in specialized Data Science courses and networking within the industry significantly boosts your chances of success.
What steps should one follow to understand Machine Learning Algorithms?
Understanding Machine Learning algorithms starts with grasping their mathematical foundations, involving statistics, probability theory, and Linear Algebra. Subsequently, implementing these algorithms on real datasets demands a programming language equipped with modules facilitating ML development, such as MATLAB, Python, or R.
In essence:
- Mathematical Concepts
- Programming Skills
- Data Manipulation/Preprocessing
- Machine Learning Algorithms
- Exposure to Various Scenarios
- Hands-on Experience with End-to-End Projects
- Deployment of Models on Different Cloud Platforms.
Can you assist in finding employment opportunities after completion of the course?
Absolutely! At Digiperform, we prioritize your career journey beyond the course completion. Our dedicated placement support team assists in identifying employment opportunities aligned with your skill set. We facilitate connections with our extensive network of partner companies across diverse industries. Moreover, our training equips you with practical skills and industry-relevant knowledge, enhancing your employability. We offer guidance, interview preparation, and ongoing career support to ensure a smooth transition into the professional landscape.
Do you offer certification?
Yes, at Digiperform, we provide industry-recognized certification upon successful completion of our courses. Our certifications validate your skills and knowledge in digital marketing, data science, and related fields. These certifications are a testament to your expertise, empowering you to stand out in the competitive job market and showcase your proficiency to potential employers. With our comprehensive training programs and certifications, you can boost your career prospects and excel in the rapidly evolving digital landscape.