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Data Science Courses In Vizag
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Top 7 Data Science Courses in Vizag with Placement
Welcome to our list of the Top 7 Data Science Course Institutes in Vizag!
Visakhapatnam, commonly known as Vizag, is a coastal gem nestled along the Bay of Bengal in India. Renowned for its picturesque beaches, vibrant culture, and bustling port, Vizag blends historical charm with modern development. The city’s lush landscapes, ancient temples, and burgeoning industries make it a captivating destination, attracting visitors and fostering a thriving community.
As Vizag embraces technological advancements, it is expanding beyond its traditional roots and emerging as a hub for various technological fields, including the promising domain of data science. The city’s digital transformation indicates a promising future for data science in Vizag. Industries in Vizag are increasingly recognizing the significance of leveraging data to drive informed decisions, streamline processes, and foster innovation.
The rise of educational institutions and specialized training programs in Vizag that focus on data science signifies a growing interest in cultivating local talent for this evolving field. This shift toward data-driven methodologies is poised to elevate Vizag’s position in the technological landscape.
With its blend of traditional allure and technological advancement, Vizag is becoming an enticing destination for individuals seeking to contribute to the dynamic realm of data science.
This article will delve into the Top 8 Data Science Courses in Vizag, highlighting their significance and the advantages of pursuing them in Vizag, India. Let’s get started.
Comparison Chart: Top 7 Data Science Courses in Vizag with Placement.
If you are looking for the best and most reliable information regarding Data Science courses in Vizag, 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 | 2014 | INR 1,22,720 | 100%* |
| 2 | Softenant technologies | Online | Offline | 2015 | INR 45,000 | 100% |
| 3 | Datapro | Online | Offline | 2015 | INR 65,000 | 100% |
| 4 | Grafx IT Solutions | Online | Offline | 2007 | INR 75,999 | 100% |
| 5 | Course Divine Technology Pvt. Ltd | Online | Offline | 2020 | INR 15,999-1,00,000 | 100% |
| 6 | JNNC Technologies | Online | Offline | 2013 | INR 45,999-1,05,999 | 100% |
| 7 | New Thoughts IT Solutions | Offline | 2015 | INR 55,999 | 100% |
What is Data Science and its Importance?
Data Science is a multidisciplinary field that utilizes scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It encompasses various techniques from statistics, mathematics, computer science, and domain expertise to uncover patterns, trends, and correlations within data. By employing tools like machine learning, data mining, and visualization, data scientists interpret and derive valuable information, aiding decision-making processes across industries.
Its significance lies in its ability to empower business decisions with actionable insights, enhance predictive capabilities, optimize operations, and drive innovation. Data Science fuels advancements in personalized healthcare, improves customer experiences, revolutionizes marketing strategies, and fosters advancements in various fields, fostering progress and efficiency in today’s data-driven world.
Top 7 Data Science Courses in Vizag
1. Digiperform
Digiperform stands as a prominent training provider in India, specializing in equipping individuals with digital skills. The organization boasts a comprehensive course curriculum meticulously crafted by a team of over 50 experts rooted in the Data Science industry. Actively engaging with 450 forward-thinking businesses across Asia allows us to gather valuable input and suggestions, ensuring that our courses consistently align with the latest industry trends.
Our curriculum is thoughtfully designed to encompass the requisite skills for roles within both small and large Data Science agencies, as well as companies housing in-house Data Science teams. At Digiperform, our emphasis lies in adopting a hands-on learning approach. We integrate practical exercises, research tasks, and assignments to furnish a well-rounded and practical learning experience for our students.
Why Choose Digiperform Online Data Science Course?
Opting for Digiperform’s Online Data Science Course presents several compelling advantages. Our learning experience is centered on user-friendliness, meticulously curated by industry experts to facilitate a clear grasp of intricate concepts.
The course structure is thoughtfully crafted, drawing from feedback obtained from 450 business decisions, ensuring its relevance in the constantly evolving digital landscape. We prioritize a hands-on approach, incorporating practical work, research tasks, and assignments to offer a holistic learning journey.
Irrespective of whether your background is scientific, business-oriented, or non-technical, our course is tailored to ensure your success. Join us to unlock the expansive realm of data science and commence a fulfilling learning journey!
Data Science Online Course: Advantages
For those who wish to become a data scientist, the benefits of taking an online course are numerous. The flexibility of it, allowing learners to carry out their study at the same time as existing commitments, is a major benefit. This online format provides accessibility from any place and allows geographical barriers to be overcome.
These programs frequently contain industry-specific material, guaranteeing learners remain current with the newest trends and technologies. Interactive segments and practical tasks enhance hands-on abilities, preparing students for real-life use. Additionally, online discussion platforms and interactions among peers foster a collaborative learning atmosphere.
Offering self-paced learning choices and continuous access to resources, an Online Data Science Training enables individuals to undertake 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: 1,22,720
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. Softenant technologies
Softenant Technologies is a training institute in Vizag specializing in cutting-edge technologies such as SAP, Python, Java, Data Science, Amazon Web Services, AI, Machine Learning, Deep Learning, NLP, Big Data Hadoop, Autocad, Tally, and predictive Analytics. Our trainers, seasoned industry experts with over 10 years of experience, possess extensive hands-on knowledge to guide you through a seamless learning experience. Opt for Softenant Technologies for your career advancement—we’ve crafted our syllabus with real-time scenarios and live projects, ensuring a comprehensive learning journey.
Course Curriculum:
SQL
- DDL, DML, DCL
- Index in RDBMS
- Clauses in SQL
- Operators in SQL
- Creating Database
- SQL Functions
- Triggers in SQL
R-Programming
- Data Structures in R
- Variables
- Operators
- Conditional Statements
- Loops
- Strings
- Functions
- Statistical programming
- Bar charts, Pie chart, Line Chart
- Pareto chart, Histogram, Scatterplot
- Import Dataset in R
- Reading various files
- CSV files, SAS files, JSON files, Text files
- Packages
- Hmisc
- Caret
- Data Table
- Ggplot2
- Dplyr
Python
- Data Types
- Conditional Statements
- Loop
- Functions
- Numpy in Python
- Reshaping and combining Arrays
- Arrays
- Pandas
- Introduction
- Dataframe
- Working with Missing Data
- Merge, Join and Concatenate
- Indexing and Selecting Data
MatplotLib Library in Python
- Introduction
- Design
- Different visualizations
Scipy and Sklearn in Python
- Installations
- Scipy Introduction
- Mathematical algorithms
- Sklearn
- Machine Learning Algorithms
Seaborn Library in Python
- Introduction to seaborn library
- Linear relationships
- Statistical relationships
- Plotting Categorical Data
- Statistical Analysis
- A high-level overview of Data Science
- Random variable
- Probability and Distribution
- Balanced and Imbalanced datasets
- Sampling Funnel
- The measure of central tendency
- Measure of Dispersion
Regressions
- Linear Regression
- Logistic Regression
- Multinomial Regression
- Advanced Regression
Clustering
- Unsupervised Data Mining
- Dimension Reduction
- KNN Machine Learning Classifiers
- Data Visualization
- Time Series
- Tableau Products and Usage
- Maps and Images in Tableau
- Calculation On Tableau
- Data Collection
- Data Mining
Course Highlights:
- LIVE Projects
- Certification Courses
- Placement Support
- Affordable Fees
| Name | Data Science with Python |
| Course Duration | 6 Months |
| Website | https://softenant.com/ |
| Address: | Geetha Mansion, Flat No: 101, II, Jn, opp. Andhra Bank, Akkayyapalem, Visakhapatnam, Andhra Pradesh 530016 Mob: 9393969628 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Vizag Since: | 2015 |
| Fees | INR 45,000 |
| Branches in India: | 1 |
| Flagship Course Names: | NA |
| Exclusive Data Science Institute: | No |
| Training Delivery Model | Online & Offline |
3. Datapro
DATAPRO is a nationally recognized Skill Development Training Centre that currently holds a leading position, surpassing its competitors. With a presence in over 16 states and approximately 298 centers nationwide, its success over the past two decades speaks volumes about its capabilities. DATAPRO has carved a distinct niche in the IT industry, earning widespread recognition across various segments of society.
Upon receiving approval from NSDC as its partner, DATAPRO’s responsibilities have expanded. To further enhance its effectiveness and establish a distinctive mark, the focus has shifted to courses in the RETAIL, BANKING, FINANCE, TELECOM, and ELECTRONIC sectors. The demand for skill training in these sectors from Odisha and Jharkhand indicates their significance in today’s job market in terms of employability, complementing IT applications.
Course Curriculum:
- SQL
- Core Python, Numpy,
- Data Analysis using Pandas, Matplotlib, and Seaborn
- Math and Statistics Basics
- Machine Learning(Regression,Clustering,Classification)
- Performance Metrics
- Deep Learning(CNN,RNN)
- NLP
- Advanced Excel
- Powebi/Tableau
Course Highlights:
- Job Oriented, Industry Mapped Training Courses.
- 100% Placement Assistance
- Post Graduate Diploma Course Completion
| Name | Data Science Course in Visakhapatnam (Vizag) |
| Course Duration | 3 Months |
| Website | https://www.datapro.in/ |
| Address: |
9-14-1, Flat No.301 & 302 2nd Floor, Mob: 9573388833 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Vizag Since: | 2015 |
| Fees | INR 65,000 |
| Branches in India: | 9+ |
| Flagship Course Names: |
|
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online & Offline |
4. Grafx IT Solutions
GIT Solutions Pvt. Ltd serves as a comprehensive platform offering a wide range of online and offline courses, delivering top-notch IT and business-related training. GIT initiated its IT education and training services and has successfully trained thousands of students. As an ISO 9001:2008 certified training institute, GIT maintains high standards in its courses. Its presence extends across Andhra Pradesh and Telangana, catering to the educational needs of individuals in these regions.
Course Curriculum:
- Introduction to Python Programming
- Data handling in Python
- Statistics
- Linear Regression
- Logistic Regression
- Time Series Forecasting
- Cluster Analysis
- Decision Tree and Random Forest
- R Programming
- Introduction to Machine Learning
- Big Data Analytics
- Natural Language Processing
- Deep Learning
- Data Visualization
- Capstone Project
Course Highlights:
- Trainers 25
- Students 52875
- Courses 68
- States 3
| Name | Data Science |
| Course Duration | 3 -6 Months |
| Website | https://www.grafx-itsolutions.com/ |
| Address: | 47-3-29 / 2, 5th lane DwarakaNagar Behind Gayatri Intermediate College Aptech Building, visakhapatnam Mob: 8912575103, 9290089969 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Vizag Since: | 2007 |
| Fees | INR 75,999 |
| Branches in India: | 2 |
| Flagship Course Names: | NA |
| Exclusive Data Science Institute: | No |
| Training Delivery Model | Online /Offline |
5. Course Divine Technology Pvt. Ltd
Course Divine Technology Pvt. Ltd introduces Data Science Intuition, offering comprehensive insights into data science. Gain expertise in predictive analytics, machine learning, and data visualization. Explore real-world applications and advance your career in this high-demand field. Dive into the world of data with us and unlock endless possibilities.
Course Curriculum:
Module-1
- Python – Basics
- Python – Advanced
- Algorithmic thinking with Python
Module-2
- Data handling in Python – Pandas & MongoDB
- MongoDB
- Probability and Statistics with NumPy
Module-3
- Data Visualisation in Python (Matplotlib, Seaborn)
- Data Visualisation with Plotly’s dash
- Data Engineering with Python
Module-4
- Data Analysis on Image and text data
- Machine Learning with Sklearn
- Natural Language Processing
- Putting it together – Solving DS problems
Course Highlights:
- 4,000+ Live Sessions
- 80,000+ Trained
- 80% Career Benefits
- 300+ Experienced Tutors
- 100% Credit Based Certification Courses
- 4* Rating
| Name | Data Science |
| Course Duration | 3-6 Months |
| Website | https://coursedivine.com/ |
| Address: | Office No-3/23, Near- HP Petrol Bunk, Gopalapatnam, Visakhapatnam, Andhra Pradesh. Mob: +91 9100 348 679 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Vizag Since: | 2020 |
| Fees | INR 15,999-1,00,000 |
| Branches in India: | 1 |
| Flagship Course Names: | NA |
| Exclusive Data Science Institute: | No |
| Training Delivery Model | Online/Offline |
6. JNNC Technologies
JNNC Technologies, a computer training institute in Vizag, provides top-rated software training. Our skilled trainers offer placement-assured courses, ensuring the best learning experience for our students.
Course Curriculum:
Module 1: Data Science Foundations
- Introduction to Data Science
- Statistics for Data Science
- Python Programming for Data Science
- Data Structures and Algorithms
- Git and Version Control
Module 2: Data Acquisition and Wrangling
- Data Sources and Types
- Web Scraping
- Data Cleaning and Manipulation
- Regular Expressions
- Data Quality Control
Module 3: Data Exploration and Visualization
- Exploratory Data Analysis (EDA)
- Data Visualization with Matplotlib and Seaborn
- Storytelling with Data
- Tableau and Power BI Introduction
Module 4: Machine Learning Fundamentals
- Supervised Learning (Regression, Classification)
- Unsupervised Learning (Clustering, Dimensionality Reduction)
- Model Evaluation and Selection
- Machine Learning Algorithms (Linear regression, KNN, Decision Trees)
Module 5: Deep Learning
- Introduction to Deep Learning
- Neural Networks
- TensorFlow or PyTorch Basics
- Deep Learning Applications (Image Classification, NLP)
Module 6: Big Data and Cloud Computing
- Introduction to Big Data
- Hadoop and Spark
- Cloud Platforms for Data Science (AWS, Azure, GCP)
Module 7: Project and Capstone
- Work on a real-world data science project
- Apply the learned skills to solve a specific problem
- Present your findings and insights
Course Highlights:
- Industry-aligned curriculum
- Hands-on learning
- Expert faculty
- Job placement assistance
- Personalized learning
| Name | Data Science |
| Course Duration | 3-6 Months |
| Website | https://www.jnnctechnologies.com/ |
| Address: | Ravindra Bharathi School, 1st Ln, Opposite Hotel Sarovar, Dwaraka Nagar, Visakhapatnam, Andhra Pradesh 530016 Mob: 9886869464 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Vizag Since: | 2013 |
| Fees | INR 45,999-1,05,999 |
| Branches in India: | 1 |
| Flagship Course Names: | NA |
| Exclusive Data Science Institute: | No |
| Training Delivery Model | Online/Offline |
7. New Thoughts IT Solutions
New Thoughts IT Solutions Data Institute provides cutting-edge training in data-related fields. Their institute offers comprehensive courses in Data Science, Predictive Analytics, and more. With industry-expert instructors and hands-on learning, we equip students with in-demand skills for a successful career in the data-driven world.
Course Curriculum:
Module 1: Introduction to Data Science
- What is data science?
- The data science lifecycle
- Data science applications in different industries
- Python programming for data science
Module 2: Data Wrangling and Cleaning
- Introduction to data
- Data acquisition and manipulation
- Data cleaning and pre-processing
- Data quality control
Module 3: Exploratory Data Analysis (EDA)
- Data visualization
- Statistical analysis
- Hypothesis testing
- Data storytelling
Module 4: Machine Learning
- Supervised learning
- Unsupervised learning
- Regression algorithms
- Classification algorithms
- Model selection and evaluation
Module 5: Deep Learning
- Introduction to deep learning
- Artificial neural networks
- Convolutional neural networks
- Recurrent neural networks
Module 6: Big Data
- Introduction to big data
- Hadoop and MapReduce
- Spark and other big data tools
- Big data analytics
Module 7: Data Science Ethics and Communication
- Data privacy and security
- Algorithmic bias and fairness
- Effective communication of data insights
Module 8: Capstone Project
- Apply your data science skills to a real-world problem
- Develop a data science solution
- Present your findings to a panel of experts
Course Highlights:
- 5342+Success Stories
- 35+ Courses
- 1742 Happy Students
- 8+ Years Experience
| Name | Data Science Course In Visakhapatnam |
| Course Duration | 3-8 Months |
| Website | https://newthoughtsitsolutions.com/ |
| Address: | Arunodaya Complex, 11, 1st Ln, Dwaraka Nagar, Visakhapatnam, Andhra Pradesh 530016 Mob: 096769 64625 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Vizag Since: | 2015 |
| Fees | INR 55,999 |
| Branches in India: | 1 |
| Flagship Course Names: | NA |
| Exclusive Data Science Institute: | No |
| Training Delivery Model | Offline |
Who should learn Data Science in Vizag?
Individuals in Visakhapatnam (Vizag) eager to embrace Data Science include aspiring professionals seeking lucrative career paths in tech-driven industries like IT, healthcare, finance, and e-commerce. Graduates, mid-career professionals seeking a transition, or tech enthusiasts passionate about data analysis and predictive modeling will benefit. Vizag’s burgeoning tech ecosystem, supported by government initiatives and educational institutions offering specialized courses, provides an ideal environment. Anyone intrigued by extracting insights from data, shaping strategies, and contributing to innovative solutions can find ample opportunities by learning Data Science in Vizag.
Why should you study Data Science?
Studying Data Science feels like acquiring a superpower for comprehending the world through information. It’s not limited to computer experts; anyone intrigued by understanding data can gain from it. Picture being capable of forecasting trends, making intelligent choices, and resolving real-life challenges using data – that’s the enchantment of Data Science! In this digital era flooded with information, learning Data Science resembles possessing a key that unlocks gates to knowledge.
Additionally, it unveils exciting job prospects across diverse fields, ranging from healthcare to business. Whether you’re a student shaping your future or an individual aiming to enhance skills, studying Data Science is a strategic step that enables you to confidently and creatively navigate the data-centric world.
Career Scope in Data Science in Vizag
The city of Visakhapatnam, commonly known as Vizag, presents promising career opportunities in the field of Data Science. With its emerging tech ecosystem and growing IT sector, Vizag has seen a rising demand for skilled professionals in data-related roles. Several industries, including healthcare, finance, manufacturing, and e-commerce, are leveraging data-driven insights to enhance operations and make informed decisions. This trend has resulted in a surge in job openings for Data Scientists, Data Analysts, Machine Learning Engineers, and other data-centric positions across various sectors in Vizag.
Moreover, the local government’s initiatives to promote technology and innovation, along with the establishment of tech parks and incubation centers, further contribute to the flourishing Data Science landscape in Vizag. The presence of educational institutions offering specialized courses in Data Science and related fields also nurtures a pool of talented individuals ready to contribute to the city’s data-driven growth. As Vizag continues to develop its digital infrastructure, the career scope in Data Science is poised for substantial growth, offering opportunities for professionals seeking a rewarding career in the field.
Mastering Data Science Tools
Digiperform’s ‘Mastering Data Science Tools’ course thoroughly delves into the domain of data science. This course provides extensive instruction in Python, R programming, and advanced machine learning methods, enabling learners to derive meaningful insights from data. By engaging with essential industry tools firsthand, students develop the skills to address genuine data-related issues competently. The hands-on approach of the curriculum enriches expertise and equips individuals to explore various career paths within the ever-changing landscape of data science.
Data Science Salaries for Freshers in Vizag
Data Science salaries for freshers in Vizag can vary based on several factors such as educational background, skills, company, and job role. On average, entry-level Data Science positions in Visakhapatnam (Vizag) may offer salaries ranging from INR 3-6 lakhs per annum. However, these figures can fluctuate depending on the specific company, the demand for data-related skills, and the candidate’s expertise in tools like Python, R, SQL, machine learning, and data visualization. As the tech industry continues to grow in Vizag, the demand for skilled Data Science professionals is expected to increase, potentially impacting salary of a data scientist ranges for freshers entering the field.
Current Job Openings in Data Science in Vizag
In Visakhapatnam (Vizag), there’s a diverse range of job opportunities emerging in the Data Science domain, showcasing the city’s progressive stance in the technological realm. Companies in Vizag actively seek skilled Data Science professionals, emphasizing the increasing significance of data-driven insights across various industries. Job openings cover a wide spectrum of sectors including IT, healthcare, and finance, presenting roles such as data analysts, machine learning engineers, and data scientists.
This surge in job prospects highlights Vizag’s dedication to technological progress and acknowledgment of the pivotal role played by data experts. For those in Vizag exploring career avenues, the present job landscape in Data Science offers a promising platform to embark on a rewarding and impactful professional journey. You can explore opportunities on platforms such as Naukri.com, Linkedin.com, Indeed.com, and others.
FAQs: Data Science Course
What will I learn in a data science course?
In Digiperform's data science training, you'll master fundamental concepts like statistical analysis, machine learning, and data visualization. You'll delve into programming languages like Python and R, learning to clean and process data sets efficiently. This course completion emphasizes predictive modeling, data interpretation, and hands-on projects to ensure you gain practical experience in extracting insights from complex data, preparing you for real-world applications in various industries.
What are the job opportunities for data scientists?
Data scientists are in high demand across industries, offering vast career prospects. In the digital realm, they can excel in roles like data analyst, machine learning engineer, business intelligence analyst, or AI specialist. Their expertise is valued in e-commerce, healthcare, finance, and marketing sectors. They play a pivotal role in deciphering data, driving informed decision-making, and crafting innovative strategies for business growth in the digital landscape.
Where can I find data science courses?
Certainly! Digiperform offers comprehensive data science training that cover a wide range of topics such as machine learning, data analysis, Python programming, and more. These courses are designed to provide practical knowledge and hands-on experience in the field of data science. You can find these courses on Digiperform's official website, where they offer detailed information about the curriculum, duration, and enrollment process for aspiring data science professionals.
Is data science the right career for me?
Certainly! A career in data science can be promising if you possess a passion for problem-solving, analytics, and a knack for interpreting data trends. Digiperform acknowledges the increasing demand for data-driven insights in various industries. If you enjoy working with numbers, statistics, and programming languages like Python or R, data science might be a perfect fit for you, offering a dynamic and rewarding career path in the digital landscape.
