TOP 12 BEST DATA SCIENCE COURSES IN BANGALORE
Welcome to our list of the Top 12 Data Science Course Institutes in Bangalore!
Bangalore is the capital and largest city of the southern Indian state of Karnataka. Bangalore has a pleasant climate throughout the year, with its parks and green spaces earning it the reputation of India’s “Garden City”. Its elevation is the highest among India’s major cities.
Bangalore has lots of top-notch schools and colleges. It’s also where you find many computer and airplane companies. Because of all the good things about the city, more and more people are moving here.
It’s a big industrial hub in Karnataka because of all the tech companies. But what really stands out are the beautiful parks and gardens. That’s why it’s also called the Garden City. And guess what? Bangalore is growing super fast! It’s the second fastest-growing city in India. Even though it’s getting bigger, the city still stays clean and green, without a lot of pollution.
If you are looking for the best and most reliable information regarding Data Science courses in Bangalore, then you have come to the right place, so let’s get started.
| Institute Rank | Name | Training Delivery Type | Offering Course Since | Fees | Placement Assistance |
| 1 | Digiperform- Digital Career Academy | Online | 2013 | INR 1,22,720 | 100% |
| 2 | Cranes Varsity | Online & Offline | 2000 | INR 55,000 | 100% |
| 3 | Crampete | Online | 2018 | INR 50,000 | 100% |
| 4 | Learnbay | Online & Offline | 2016 | INR 1,25,000 | 100% |
| 5 | 360DigiTMG Data Science Institute | Online & Offline | 2016 | INR 85,000 | 100% |
| 6 | Excelr Training Institute | Online & Offline | 2013 | INR 59,999 | 100% |
| 7 | Imarticus Learning | Online & Offline | 2012 | INR 2,25,000 | 100% |
| 8 | Indras Academy | Online & Offline | 2014 | INR 30,000 | 100% |
| 9 | RedCoin Technologies | Online & Offline | 2015 | INR 30,000 | 100% |
| 10 | Besant Technologies | Online & Offline | 2008 | INR 40,425 | 100% |
| 11 | Apponix Academy | Online & Offline | 2013 | INR 30,000 | 100% |
| 12 | DVS Technologies | Online | 2012 | INR30,000 | 100% |
Data science is kind of like being a super sleuth with computers. It’s about being really good at a certain subject, knowing your way around computers, and understanding numbers. Data scientists use special computer programs that can learn from all sorts of information, like numbers, words, pictures, and sounds. With these programs, they can create smart machines that can do things usually done by people. These smart machines dig up useful info, which can be a big help to businesses.
Its Importance:- Think of data science as a super handy tool that helps us make sense of all the information floating around. It’s a big deal because it enables companies and groups to make wise decisions using massive amounts of data. It’s like having a magical crystal ball that can predict things in finance, healthcare, and marketing, making those areas run smoother. Data science also improves our online experiences, like when Netflix suggests movies we might enjoy. It helps cities go green and be more efficient by planning things out better. And it’s not just for business – data science can assist us in preparing for disasters and taking care of our environment. In a nutshell, data science is a superpower that transforms how we do things, from business to saving the planet.
1. Digiperform
Digiperform is the biggest training provider in India that focuses specifically on digital skills. Our courses are put together and kept up-to-date by a team of over 50 experts in the digital marketing field. We make sure to include the input and recommendations of 450 experienced professionals from companies all across Asia.
Why Choose Digiperform Online Data Science Course?
We offer the top Data Science Training Program in India, designed to kickstart your career in data science. You’ll tackle 75+ projects and assignments covering Stats, Advanced Excel, SQL, Python Libraries, Tableau, Advanced Machine Learning, and Deep Learning. These tasks simulate real-world data challenges in various industries like healthcare, manufacturing, sales, media, marketing, and education. This training prepares you for over 30 different job roles.
Data Science Online Course: Advantages
Enrolling in an online data science course has lots of perks. First off, you get to learn right from your own home, saving time and money on travel. These courses usually have flexible schedules, so you can study when it works best for you. They provide plenty of resources like videos and quizzes to make learning easier. You can also chat with other students and experts online to ask questions and get help. The best part is, once you finish the course, you’ll have fresh skills that can lead to cool job opportunities in the world of data science.
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 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
Cranes Varsity is a pioneer Technical Training institute turned EdTech Platform offering Technology educational services for over 24 years. Being a trusted partner of over 5000+ reputed Academia, Corporate & Defence Organizations They have successfully trained 1 Lakh+ engineers and placed 70,000+ engineers. Cranes Varsity offers high-impact hands-on technology training to Graduates, Universities, Working Professionals, and the Corporate and defense sectors.
As a trusted recruitment and training partner, they engage their Corporate through the “Hire, Train & Deploy” Model. They stand by their principle – “They Assist Until they Place”- and consistently strive for participants’ satisfaction and dedication to placement.
Course Curriculum
- Relational Database – SQL
- Python Programming
- Exploratory Data Analysis with Pandas
- Foundational Statistics
- Data Analysis and Visualization Using Tableau
- Foundational Machine learning
- Data Analysis and Visualization Using Excel
- Advanced Python and UnitTesting
- Advanced Machine Learning and Model Improvement
- Deep Learning using Tensor Flow
Course Highlights:
- comprehensive programs
- covers RDBMS, Python, and DAV using Numpy & Pandas,
- Machine Learning, Deep Learning, and Tableau.
- develop expertise in several key areas
- learn data manipulation and analysis techniques using programming languages like Python.
| Name | PG Diploma in Data Science and Machine Learning |
| Course Duration | 5 Months |
| Website | www.cranesvarsity.com |
| Address: | Presidency Building, 3rd & 4th Floor, St. Marks Road, Bangalore -560 001, Karnataka. Mobile: +91 96208 29666 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Bangalore Since: | 2000 |
| Fees | INR 55,000 |
| Branches in India: | Banglore |
| Exclusive Data Science Institute: | Yes |
| Flagship Course Names: |
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| Training Delivery Model | Online & Offline |
Crampete is a privately held EdTech company headquartered in Singapore with offices in India, Malaysia, and Singapore. Crampete is founded and managed by a team of technocrats with more than a million hours of combined coding experience.
Crampete creates, markets, and delivers in-demand tech courses to students and working professionals across the world. Their flagship programs are Full Stack Web Development and Data Science courses offered as instructor-led live sessions through digital channels and also on-campus where students get to attend classes at their learning centers located in Singapore, Malaysia, India, and the Middle East.
Course Curriculum
- MODULE 1: PYTHON FOR DATA ANALYSIS
- MODULE 2: INTRO TO STATISTICS
- MODULE 3: INFERENTIAL STATISTICS
- MODULE 4: REGRESSION AND ANOVA
- MODULE 5: EXPLORATORY DATA ANALYSIS
- MODULE 6: SUPERVISED MACHINE LEARNING
Course Highlights:
- Online live classes
- 16 Hands-n lab + downloadable course
- 5 Mini Projects
- One Capstone Project
- Videos and training materials
- Mock Interview, Portfolio building, Placement assistance
| Name | Data Science Programme |
| Course Duration | 4 Months |
| Website | www.crampete.com |
| Address: | Level -1, 132, Habibullah Rd, Parthasarathi Puram, T. Nagar, Chennai, Tamil Nadu 600017 Mob: +91 93840 58989 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Bangalore Since: | 2018 |
| Fees | INR 50,000 |
| Branches in India: | Chennai, Bangalore, Coimbatore, Raipur, Bhubaneswar |
| Exclusive Data Science Institute: | Yes |
| Flagship Course Names: |
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| Training Delivery Model | Online |
Learnbay is a software education consulting institute located in Bangalore. This training center offers a variety of courses in Data Science, AI, and Machine Learning to students. Managed by a team of experts and researchers in the fields of Artificial Intelligence and Data Science, the institute provides high-quality training and education.
This training is designed to enhance the professional skills and knowledge of students in AI and Data Science. The institute’s mission is to empower curious learners, enabling them to acquire, demonstrate, and articulate in-demand, industry-ready skills that add value to their professional journey. To date, Learnbay has successfully trained numerous students, working professionals, and employees from over 40 reputed companies and organizations in the areas of Data Science, Artificial Intelligence, and Machine Learning.
Course Curriculum
- L1: Cohort Orientation + Special Programming Classes
- L2: Python Programming (Basic + Advance)
- L3: Statistics and Machine Learning
- L4: Data Science Tools
- L5: AI Tools
- L6: Deplyment & Essentials
- L7: AI Generative Tools and Future Trends
Course Highlights
- Industry-Relevant & Updated Syllabus
- 360 Degree Knowledge Building
- 1:1 Dedicated Mentorship
- Multiple Career Opportunities
- Domain specialization
| Name | Data Science and AI Masters Program |
| Course Duration | 10 Months |
| Website | www.learnbay.co |
| Address: | 1090 1st floor, 18th Cross Rd, above Sangam Sweets, Sector 3, HSR Layout, Bengaluru, Karnataka 560102 Mob:077956 87988 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Bangalore Since: | 2016 |
| Fees | INR 1,25,000 |
| Branches in India: | Pune, Mumbai, Delhi, Kolkata, Chennai, Bangalore, Hyderabad |
| Exclusive Data Science Institute: | Yes |
| Flagship Course Names: |
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| Training Delivery Model | Online & Offline |
360DigiTMG is the organization of choice for leading industries worldwide, attracting aspirants from across the globe. It consistently transforms individuals’ careers by offering an exceptional learning journey, setting itself apart from the competition. With its main headquarters in India, 360DigiTMG has made a significant global impact by providing world-class training.
Course Curriculum:
- CRISP-DM – Project Management Methodology
- Exploratory Data Analytics (EDA) / Descriptive Analytics or Descriptive Statistics
- Statistical Data Business Intelligence and Data Visualization
- Plots & Inferential Statistics
- Probability Distributions (Continuous & Discrete)
- Hypothesis Testing – The ‘4’ Must Know Hypothesis Tests
- Data Mining Supervised Learning – Linear Regression, OLS
- Predictive Modelling – Multiple Linear Regression
- Lasso and Ridge Regressions
- Logistic Regression – Binary Value Prediction, MLE
- Multinomial Regression and Ordinal Regression & more
Course Highlights:
- 180+ Hours Online + Classroom Sessions
- 150+ Hours of Practical Assignments
- 2 Capstone Projects
- Certified
- 100% Placement Assistance
- Live Free Webinar
- 24/7 Support
| Name | Professional Course in Data Science & AI |
| Course Duration | 6 Months |
| Website | www.360digitmg.com |
| Address: | No 23, 2nd Floor, 9th Main Rd, 22nd Cross Rd, 7th Sector, HSR Layout, Bengaluru, Karnataka 560102 Call: 1800 212 654 321 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Bangalore Since: | 2016 |
| Fees | INR 85,000 |
| Branches in India: | Pune, Hyderabad, Bangalore, Chennai |
| Exclusive Data Science Institute: | Yes |
| Flagship Course Names: |
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| Training Delivery Model | Online & Offline |
As a new-age training institute with a global footprint, they at ExcelR understand the constantly changing nature of the business and emerging needs across the globe. Keeping industry skill requirements in mind, They offer a wide gamut of technical and management courses as well as courses in emerging technologies. The curriculum of each course has been meticulously designed to match the contemporary needs of the industry.
Course Curriculum:
- Module 1 – Data Science Project Lifecycle
- Module 2 – Introduction To R And Python Basic Statistics
- Module 3 – Hypothesis Testing
- Module 4 – Linear Regression
- Module 5 – Logistic Regression
- Module 6 – Regularization Techniques
- Module 7 – Multinomial Regression
- Module 8 – Data Mining Unsupervised – Clustering
- Module 9 – Dimension Reduction
- Module 10 – Data Mining Unsupervised – Network Analytics
- Module 11 – Data Mining Unsupervised – Association Rules
- Module 12 – Data Mining Unsupervised – Recommender System
- Module 13 – Text Mining
- Module 14 – Natural Language Processing
- Module 15 – Machine Learning Classifiers – KNN
- Module 16 – Classifier – Naive Bayes
- Module 17 – Decision Tree And Random Forest
- Module 18 – Bagging And Boosting
- Module 19 – Black Box Methods
- Module 20 – Survival Analysis
- Module 21 – Forecasting
- Module 22 – Assignments
- Module 23 – Projects
- Module 24 – Resume Prep And Interview Support
| Name | Data Science Certification from SGIT, Steinbeis University, Germany |
| Course Duration | 6 Months |
| Website | www.excelr.com |
| Address: | 49, 1st Cross, 27th Main, behind Tata Motors, 1st Stage, BTM Layout, Bengaluru, Karnataka 560068 Mob: 096321 56744 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Bangalore Since: | 2013 |
| Fees | INR 59,999 |
| Branches in India: | Pune, Bangalore |
| Exclusive Data Science Institute: | Yes |
| Flagship Course Names: |
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| Training Delivery Model | Online & Offline |
Established in 2012, Imarticus Learning Institute is widely recognized for its comprehensive approach to student development. The institute is dedicated to enhancing the overall personality of its students, with a focus on building their skills and providing training.
Imarticus Learning Institute specializes in Learning for technical courses, offering programs for individuals looking to learn new technical skills and obtain certifications that can contribute to career growth. The institute provides certification programs, professional degree programs, and postgraduate programs in Finance, Analytics, Technology, and Management specializations.
Learners have access to both offline and online classes, taught by certified and experienced professionals. Imarticus Learning Institute offers a variety of learning options, including regular classroom Learning, Online Learning, and personalized mentorship programs.
Course Curriculum:
- Foundation
- Core Track
- SQL
- Python Programming
- Statistics for Data Science
- Machine Learning
- Data Visualisation with Tableau and Power BI
- Specialization 1 – Advanced ML Track
- Specialization 2 – Data Analytics & ML Track
Course Highlights:
- KPMG India COE Organised 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: | Site No 20, Krishna Shine, 1st Floor Marathalli Ring Road Junction, above Udupi Viabhava Hotel, Marathahalli, Bengaluru, Karnataka 560037 Mob: 099539 61020 |
| Avg. Google Rating: | 4 |
| Offering DS Training in Bangalore Since: | 2012 |
| Fees | INR 2,25,000 |
| Branches in India: | Mumbai, Bangalore, Pune, Delhi, Gurugram, Jaipur, Hyderabad, Chennai, Lucknow, Cochin |
| Exclusive Data Science Institute: | Yes |
| Flagship Course Names: |
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| Training Delivery Model | Online /Offline |
Since 2014, Indra’s Academy Bangalore has been training candidates for their bright careers. To date, they have trained 7500 students for different courses like Data Science, RPA, Ui Path, Graphic Designing, and Web Development.
They have 3 spacious classrooms and each classroom has a capacity of 10 students. They believe in a personal focus on each student and hence have limited the number of students per batch. The same applies to their online courses. To date, they have placed more than 1000 students in reputable companies.
For each course, they have a dedicated team of 2 trainers. They ensure that every candidate understands the topics through practical projects and provide students with 3-5 real-time projects. They have designed the courses with the help of industry experts to bring revolutionary changes in the above-mentioned sectors.
Course Curriculum:
- Module 1: Python
- Module 2: Statistics
- Module 3: Machine Learning
- Module 4: Time Series
- Module 5: NLP
- Module 6: SQL
- Module 7: TABLEAU
| Name | Data Science Training |
| Course Duration | 2 Months |
| Website | www.indrasacademy.com |
| Address: | Indras Academy 45, Varthur main road, Tulasi Theatre Road, Marathahalli Village, Marathahalli, Bengaluru, Karnataka 560067 Mob: 8197224940 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Bangalore Since: | 2014 |
| Fees | INR 30,000 |
| Branches in India: | Bangalore |
| Exclusive Data Science Institute: | Yes |
| Flagship Course Names: |
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| Training Delivery Model | Online /Offline |
Red Coin Technologies is a well-managed entity that offers comprehensive solutions and training services. This firm is based in Bangalore, specializing in Information Technology Training and Placement Services.
Their expertise lies in delivering top-notch I.T. professional training with unwavering consistency to cater to corporate needs. Red Coin Technologies provides cutting-edge courses and software solutions focused on state-of-the-art technologies and platforms.
Course Curriculum:
- Module 1: Fundamentals
- Module 2: Statistics
- Module 3: Machine Learning
- Module 4: Python
- Module 5: NLP
- Module 6: SQL
- Module 7: TABLEAU
Course Highlights:
- Comprehensive Study Materials
- Best quality of teaching
- Experienced trainers
- Doubt solving sessions
- Interactive sessions
- Mock test
- Test series provided
| Name | Data Science Training |
| Course Duration | 3 Months |
| Website | www.redcointechnologies.com |
| Address: | Krishna Tower, Outer Ring Rd, Aswath Nagar, Marathahalli, Bengaluru, Karnataka 560037 Mob: 8088457457 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Bangalore Since: | 2015 |
| Fees | INR 30,000 |
| Branches in India: | Bangalore |
| Exclusive Data Science Institute: | yes |
| Flagship Course Names: |
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| Training Delivery Model | Online & Offline |
BDreamz.com operates a branch known as Besant Technologies, which has positioned itself as a leading institute for IT training in Bangalore. The institute is staffed with experienced coordinators responsible for managing all aspects of topics, lectures, problems, and their successful resolutions.
Besant Technologies’ mission is to deliver instruction in supplementary software-related courses in a simple and clear manner, utilizing the latest technology, programs, and procedures. Their eLearning courses, featuring 100% placements, certification, and job-oriented content, provide students with self-paced online videos, 24/7 technical support, 365 LMS access, resume preparation, mock interviews, and backup classes.
Course Curriculum:
- Module 1: Foundational Statistics
- Module 2: Foundational Machine Learning
- Module 3: Exploratory Data Analysis with Pandas
- Module 4: Python Programming
- Module 5: Data Analysis and Visualization Using Tableau
- Module 6: Deep Data Learning
- Module 7: Advanced Machine Learning and Model Improvement
Course Highlights:
- 80+ Hour Course Length
- 100% Job-Oriented Training
- Industry Expert Faculty
- Free Demo Class Available
- 500+ Batches Completed
- Guidance for certificate
| Name | Data Science With Python Training |
| Course Duration | 3-4 Months |
| Website | www.besanttechnologies.com |
| Address: | No. 43/2, 2nd Floor, VMR Arcade, Silver Springs Layout, Munnekollal Varthur Main Road, Near kundalahalli gate signal, Marathahalli, Bengaluru, Karnataka 560037 Mob: 097072 50260 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Bangalore Since: | 2008 |
| Fees | INR 40,425 |
| Branches in India: | Bangalore, Chennai |
| Exclusive Data Science Institute: | Yes |
| Flagship Course Names: |
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| Training Delivery Model | Online /Offline |
At Apponix They Have the Best Trainers of IT Industry On the Latest Technologies. Their standard is to give the best possible training in the industry with highly qualified trainers having practical knowledge of the subject matter and with excellent lab facilities to the satisfaction of the candidates.
They look only for trainers with relevant experience in the respective technologies. As a policy, they don’t entertain trainers with zero or less practical experience. Shortlisted trainers for a specific technology are assessed for their theoretical and practical skills by the Internal Quality Team
A test class is given to a group of students and feedback is collected from the students. On full satisfaction and recommendation of the Internal Team and test students the trainer is appointed to deliver classes.
Course Curriculum:
- Class 1: Introduction to Python Programming Language
- Class 2: Data handling in Python
- Class 3: More data handling using Python
- Class 4: Additional Functions of Python
- Class 5: Statistics
- Class 6: Linear Regression
- Class 7: Linear Regression Practice Case Study
- Class 8: Logistic Regression
- Class 9: Logistic Regression Practice Case Study
Course Highlights:
- 60 Hrs. Practical Sessions
- Guaranteed 5 Interviews
- Assured Job Placement
- CV Building Activities
- Interview Preparation
- Mock Interview sessions
- 100% Money-Back Guarantee
- Delivered by Senior Data Scientist
- 18 Case studies on Machine Learning
- IABAC Certified Data Scientist Certification
| Name | Data Science with Python Training |
| Course Duration | 2 Months |
| Website | www.apponix.com |
| Address: | 306, 46th, 10th Main Rd, 4th Block, Rajajinagar, Bengaluru, Karnataka 560010 Mob: 080951 54888 |
| Avg. Google Rating: | 4 |
| Offering DS Training in Bangalore Since: | 2013 |
| Fees | INR 30,000 |
| Branches in India: | Bangalore, Pune, Hubli |
| Exclusive Data Science Institute: | Yes |
| Flagship Course Names: |
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| Training Delivery Model | Online /Offline |
DVS Technologies is a Group of IT working professionals, located in Bangalore, India, DVS Trainers work on real-time projects on multiple technologies and always believe in sharing knowledge and best practices to help candidates to build careers on multiple skill sets.
DVS Technologies provides an equal opportunity to everyone with an environment they call it “Comes to Learn and Go to Lead.”!! DVS is one of the best training institutes in Bangalore. Their unique and simple work culture endorses creativity and teamwork and also encourages their employees to keep up a healthy work and life balance.
Course Curriculum:
- Intro to Statistics
- Inferential Statistics
- Python for Data Analysis
- Exploratory Data Analysis
- Supervised Machine Learning
- Regression and Anova
Course Highlights:
- Doubt clearing sessions
- Experienced faculty from premier institutes
- Low Cost, great knowledge.
- Live Classes
- Small batches
- Flexible timing
- Convenient
- Affordable
| Name | Data Science with Python Training |
| Course Duration | 4 Months |
| Website | http://www.dvstechnologies.in/ |
| Address: | 92-4, Ground Floor, beside Biryani Zone, Marathahalli, Bengaluru, Karnataka 560037 Mob:088924 99499 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Bangalore Since: | 2012 |
| Branches in India: | Bangalore |
| Fees | INR 30,000 |
| Exclusive Data Science Institute: | Yes |
| Flagship Course Names: |
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| Training Delivery Model | Online |
Who should learn Data Science in Bangalore?
Wondering who should dive into the world of Data Science in Bangalore? Well, anyone curious about unraveling the mysteries hidden in data can jump aboard! Whether you’re a student eager to explore the tech realm, a working professional looking to spice up your skills, or someone switching careers, Data Science is for you. If you find joy in solving puzzles and want to turn raw data into meaningful insights, this is your playground. In Bangalore, where the tech scene is buzzing, learning Data Science can open doors to a variety of exciting opportunities. So, whether you’re from the IT world or a different field, if the idea of exploring and making sense of data tickles your curiosity, it’s time to embrace Data Science in Bangalore!
Why should you study Data Science?
Studying Data Science is a great idea for several reasons. First, it’s in high demand, which means you can find good job opportunities. Second, it lets you work with data and find valuable insights, helping companies make smart decisions. Plus, it’s not just for experts; anyone can learn it and apply it in various fields, like healthcare, finance, or sports. Data Science also allows you to solve real-world problems and be creative. It’s a field that keeps evolving, so you’ll keep learning and growing. In short, studying Data Science can lead to a rewarding career, constant learning, and a chance to make a difference.
Career Scope in Data Science in Bangalore
Thinking about a career in Data Science in Bangalore? It’s a fantastic idea! In Bangalore, the career scope for Data Science is booming. You can snag some really cool jobs and do amazing things with data. Whether you’re fresh out of school or already working, learning Data Science opens up exciting opportunities. You’ll be the go-to person for helping businesses make smart decisions using data magic. Don’t worry if you’re not a tech whiz; anyone can get the hang of it and use it in different areas like healthcare, finance, or sports. The best part? You get to be a problem solver and a bit of a data detective. With Bangalore being a tech hub, diving into Data Science can lead you to some awesome job adventures. So, if you’re up for a mix of fun, challenges, and making a real impact, Data Science in Bangalore is the way to go!
Mastering Data Science Tools
“Embark on an engaging journey into the world of data science with Digiperform’s ‘Mastering Data Science Tools’ course. Immerse yourself in Python, R programming, and the latest machine learning methods, improving your skills to extract meaningful insights from data. Gain practical expertise with industry-relevant tools, equipping yourself to address real-world data challenges. Elevate your abilities and expand your career prospects in the data science field through Digiperform’s comprehensive and practical program.”
Data Science Salaries for Freshers in Bangalore
If you’re a newcomer in Bangalore eyeing a career in Data Science, you’re in for some good news on the salary front! Freshers in Data Science in Bangalore are earning pretty well. Companies in this tech-savvy city value the skills fresh minds bring to the table. As a beginner, you can expect a competitive salary that reflects your knowledge and enthusiasm for data. The demand for data skills is high, and Bangalore, being a tech hub, has a bunch of opportunities waiting for you. So, if you’re passionate about diving into the world of data and live in or around Bangalore, not only will you get to work on exciting projects, but you’ll also be rewarded with a salary that recognizes your potential and sets you on a promising career path.
Current Job Openings in Data Science in Bangalore
Looking for job opportunities in Data Science in Bangalore? Good news – there’s a treasure trove of openings waiting for skilled individuals like you! Many companies in Bangalore are on the lookout for Data Scientists to unravel the secrets hidden in data. Whether you’re into coding, analyzing trends, or creating machine learning magic, there’s a job for you. From established tech giants to exciting startups, the city’s job market is buzzing with possibilities. So, if you’re ready to take the plunge into the world of Data Science, Bangalore has a welcoming door to exciting career prospects! You can refer to these websites: Naukri.com, Linkedin.com, Indeed.com and many more.
FAQs: Data Science Course
What is the duration of the Data Science course in Bangalore?
The duration of Data Science courses in Bangalore can vary, but many programs offer flexible timelines. Courses can range from a few weeks to several months, depending on the depth and structure of the curriculum.
Are there any prerequisites for enrolling in a Data Science course?
Prerequisites may vary, but a basic understanding of mathematics, statistics, and programming can be beneficial. Some courses cater to beginners, while others may require a certain level of proficiency in related skills.
How are the courses structured, and what topics do they cover?
Course structures differ, but common topics include statistics, programming languages like Python, machine learning, data visualization, and practical applications in various industries. Hands-on projects are often included to reinforce learning.
What career opportunities can arise after completing a Data Science course in Bangalore?
Completing a Data Science course can open doors to various roles, including Data Scientist, Data Analyst, Machine Learning Engineer, and more. Bangalore's tech-centric environment provides ample job opportunities in sectors like IT, finance, healthcare, and e-commerce.
