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.

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.

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.

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

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

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

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

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

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.

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

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

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

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

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

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.