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Data Science Course in Bangalore
Launch your career with an industry-focused Data Science course in Bangalore. Whether you are a fresher, working professional, or from a non-technical background, Apponix helps you build in-demand skills through practical learning, live projects, expert mentorship, and personalised placement support. Master Python, Machine Learning, Data Analytics, SQL, and AI tools with hands-on training from industry experts. Earn globally recognised IABAC & JainX certifications, work on real-world projects, and get a 90-day job guarantee with 8+ interview opportunities. If you're not satisfied with the training, get a 100% money-back guarantee.
Located in India’s leading technology hub, our training program is designed to prepare you for high-growth roles in Data Science, Machine Learning, AI, and Business Analytics. Gain access to free AWS, Unix, and LinkedIn Learning resources worth ₹35,800, attend interactive classroom or online sessions, and learn from trainers with 6+ years of real-world industry experience. Join 31,000+ learners who have upgraded their careers with Apponix and take the next step toward high-paying Data Science opportunities with top companies like Google, Amazon, Infosys, TCS, and Accenture.
2000+ Ratings
3000+ Happy Learners
Testimonials By Our Students For Data Science Course
Skills Covered in Data Science
Python full coding from scratch
Visualization with Python
Machine Learning with Python - 6 different algorithms
Robotic Automation
Multiple Linear regression
Logistic regression
Cluster Analysis
SQL queries(with Python)
Machine Learning Fundamentals
Data Manipulation with Pandas
Statistical Analysis with Python
Supervised and Unsupervised Learning
Building Predictive Models
Time Series Analysis
Model Evaluation and Optimization
Data Science Training Key Features
63 Hrs Practical Sessions
Placement assistance will be provided
Assured Job Placement
Professional Resume building
Interview Preparation Session
Classroom & Online Training
Zero-Interest EMI Option
Delivered by Industry Experts
18 Case studies on Machine Learning
Certification Guidance
1 Year Access to Recorded Sessions
Zero-Interest EMI Option
Weekly Practice Assignments
Certification Guidance
Designated Placement Advisor
Weekly Practice Assignments
Placement assistance will be provided
Cloud Computing will be offered as a complimentary course
Placement of Our Students in Top Companies
Data Science Course Reviews
Resham Rajpal
Data Science Expert
The training at Apponix made me more confident in Data analysis. I have completed Data Science training form here. Excellent classes that helped a lot.
Ajith Bahadhur
Data Science Analyst
My experience with Apponix was really great. The trainer provided a lot of practical training. He is an expert. Each topic was taught through proper practical classes.
Mahesh Mahi
Data Science Analyst
I took Data Science training from the institute. I am happy to make Apponix as my choice. Too good labs and sessions are handled here.
Lakshana Senthil
Data Engineer
Management is very good, flexible with timings. Teaching pattern is easy and understandable.
Bijal Patel
Data Analyst
Best institute for Data Science. Trainer has very good knowledge in Data Science.
Aarsh Mehta
Data Engineer
Sir is very helpful and takes every step to make the students understand topics.
Our Recent Placements
Classroom Training
Classroom Training
Fees & Training Options
Class room Training
- Interactive Classroom Training Sessions
- 60+ Hrs Practical Learning
- Guaranteed 8 Interview Arrangements
- Excellent Classroom Infrastructure
- Placement Assurance
- Delivered by Working Professionals
- Weekdays & Weekend batches
- Authorized IABAC Training Delivery
Online Training
- Interactive Live Training Sessions
- 60+ Hrs Practical Learning
- Delivered by Working Professionals
- 1 Year Access to Recorded Sessions
- Placement assistance will be provided
- Daily 2 Hrs or Weekend 10 Hrs
- Weekdays & Weekend batches
- Authorized IABAC Training Delivery
- Doubt Clearing Sessions
- Regular assignments will be given and assessments will be taken.
Data Science Training Syllabus
Prerequisites
No prerequisites for learning data science but if you have some previous knowldge on computer science & statistics it helps you a lot in understanding subjects fast.
Secondly, you need to have an analytical mind – that is all you would need to enroll for Statistics For Data Science Courses.
Data Science Course Syllabus
Overview of the course
Class 1: Introduction to Python Programming Language
- Introduction and Installation of Python software Python packages: Pandas, & Numpy
- Concepts of Data frame Filtering
- Loc and iloc for filtering Usage of Boolean in Filtering Appending
Class 2: Data handling in Python
- Handling of Missing values If else statement
- Extra trick of using if else statement Removal of Duplicates
- Frequency Distribution
- Merging – Inner, Outer, Left and Right Binding and Appending
- Descriptive Statistics o Inbuilt Numeric functions of R
Class 3: More data handling using Python
- Pivot Table of Excel in Python Grouping function
- Learning of SQL queries using Python Grouping numeric data
Class 4: Additional functions of Python
- Text functions
- Data cleaning with efficient text functions Inbuilt String functions of Python Reshape functions of Python
Class 5: Statistics
- Everything you want to know about statistics….Well sort of!! Mean, Median, Mode
- Standard Deviation, Variance, Normal Distribution Hypothesis testing
- T-test, Anova, Normality test
Class 6: Linear Regression
Class 7 : Linear Regression Practice Case Study
- Predictive Analytics – Linear Regression Concepts of Linear Regression
- Simple and Multiple Linear Regression Automatic Dummy Variablescreation technique Model Validation parameters
- Model Assumption testing
- Splitting of data for Validation and testing
- Business Case Study with real data to model in Python
Participants will be asked to develop a Linear Regression model on a real life data, in presence of the instructor. Time given is 2.5 hours. Participants will be treated like an industry employee, but in terms of help certainly the instructor will not be as ruthless as the boss. After completion of the model (with the help of the instructor wherever it is required), the instructor will show how to present a model to a real life client.
Class 8: Logistic Regression
Class 9: Logistic Regression Practice Case Study
- Predictive Analytics – Logistic Regression Concepts of LogisticRegression
- Difference between Linear Regression and Logistic RegressionAutomatic Dummy Variables creation technique
- Model Validation parameters Model Assumption testing
- Splitting of data for Validation and testing
- Business Case Study with real data to model in Python
Participants will be asked to develop a Logistic Regression model on a real life data, in presence of the instructor. Time given is 2.5 hours. Participants will be treated like an industry employee, but in terms of help certainly the instructor will not be as ruthless as the boss. After completion of the model (with the help of the instructor wherever it is required), the instructor will show how to present a model to a real life client.
Class 10: Time Series Forecasting
- Time series forecasting: ARIMA
- Difference between forecasting and prediction Concepts of time series data
- Concepts of ARIMA
- Descriptive analytics for ARIMA Development of model
- Best model selection Forecasting with the best model Residual analysis
- Business Case Study with real data to model in R software
- Participants will be asked to develop a model in presence of the instructor.
Class 11: Cluster Analysis
- Unsupervised Machine Learning with Python Cluster Analysis: Concepts
- Cluster analysis with Python – K Means, Hierarchical etc.
Class 12: Decision Tree and Random Forest
- Concepts of Decision Tree Decision Tree with Python Concepts ofRandom Forest Random Forest with Python
Call Us On
+91 80505-80888
Our Top Instructors
Mr Shubhojit
Work Experience:
Shubhojit brings over 14 years of experience in Analytics, having worked with top CMMI Level 5 companies such as The Nielsen Company and TCS, where he currently serves as a Senior Analytics Consultant.
He has domain expertise across Retail, BFSI, Energy, and Utilities, and specializes in Predictive Analytics, Machine Learning, and Simulation using tools like SAS, R, Python, and GMP.
Proficient in advanced algorithms including ANN, RNN, CNN, XGBoost, Naïve Bayes, and SVM. He has built classification, regression, and churn models using Python and R.
Experienced in NLP for sentiment analysis, topic modeling, and text analytics. He has also applied recommendation systems such as Collaborative Filtering and Market Basket Analysis.
Shubhojit has utilized tools like Power BI, Spotfire, and REST APIs for building insightful dashboards and data integration, and used Google Analytics and HotJar for web and customer behavior analytics.
Trained 250+ students and conducted corporate sessions for Genpact, HSBC, ITC, and Wipro; also invited to IIT Kharagpur for workshops.
He had also been invited to IIT Kharagpur several times, to conduct analytics workshops for their B-Tech students. He has founded Analytics Educator – a premium institute for pertaining analytics training to professionals.
Founder of Analytics Educator and associated with institutions like Apponix, IVY Pro School, and EduPristine for professional analytics training.
Santosh
Education:
Graduate of Oxford College, where I developed a strong foundation in data science and analytics.
Professional Experience:
With over 10 years of experience in the industry, I am currently a Senior Data Science Specialist at Microsoft, specializing in advanced data analytics solutions for leading MNCs.
Technical Skills & Key Technologies:
- Predictive Modeling: Building models to forecast outcomes using historical data.
- Natural Language Processing (NLP): Analyzing and interpreting text data for insights.
- Machine Learning with Python: Skilled in applying multiple ML algorithms to solve real-world problems.
- Data Visualization: Creating impactful visuals using Python for better data storytelling.
- Robotic Process Automation (RPA): Streamlining tasks and boosting efficiency through automation.
Student Success & Career Support:
- Trained over 1000 students at Apponix Academy with an average rating of 4.9. I provide:
- Career Mentorship: Resume building, mock interviews, and personalized job readiness coaching.
- Placement Support: Assisting students in securing roles at top organizations through industry-focused guidance.
Subojith
Education:
Graduate from CMR University, where I built a strong foundation in data science principles and practices.Professional Experience:
With 15+ years of experience in the data science domain, I currently serve as a Senior Data Science Manager at Capgemini, bringing deep insights and knowledge from various MNCs.Technical Skills:
- Logistic Regression: Skilled in statistical modeling for binary outcomes and predictive analysis.
- SQL Queries with Python: Proficient in data manipulation and analysis using integrated SQL and Python workflows.
- Time Series Analysis: Experienced in identifying trends and patterns in temporal data.
- Cloud Computing (AWS, Azure, GCP): Leveraging cloud platforms for scalable data storage and analytics.
Student Success & Career Support:
- Trained over 1500 students at Apponix Academy with an average rating of 4.9, offering strong career guidance through:
- Resume Building: Crafting job-ready, data science-focused resumes.
- Interview Prep: Conducting mock sessions and sharing strategic tips.
- Placement Support: Assisting students in landing roles across top companies.
Keerthan
Education:
Graduated from Reva University, where I laid the foundation for my expertise in data science.
Professional Experience:
With 9+ years of experience in the industry, I currently serve as a Senior Data Science Specialist at Wipro, bringing valuable insights from my work with various MNCs.
Technical Skills:
- Machine Learning with Python: Proficient in applying 6 different algorithms to solve real-world problems.
- Robotic Automation: Expertise in automating processes to enhance efficiency.
- Multiple Linear Regression: Skilled in statistical modeling to understand relationships between variables.
- Data Visualization: Utilizing tools like Tableau and Matplotlib to present insights effectively.
- Big Data Technologies: Experience with frameworks like Hadoop and Spark for large-scale data processing.
Student Success & Career Support:
- I have trained over 900 students at Apponix Academy, achieving an average rating of 4.8. My commitment to student success includes:
- Resume Building: Helping students craft impactful resumes tailored for data science roles.
- Interview Preparation: Providing practical guidance and mock interviews to enhance confidence and skills.
- Job Placement Assistance: Supporting students in navigating the job market to secure fulfilling positions.
Arpitha
Education:
Alumnus of St. Joseph’s College, where I honed my analytical skills and passion for data science.
Professional Experience:
With 12+ years of experience, I currently serve as a Senior Data Science Specialist at Amazon, where I apply my expertise to solve complex data challenges in a fast-paced environment.Technical Skills & Expertise:
- Data Engineering & Wrangling: Skilled in ETL processes, cleaning, and preparing data for analysis.
- Experimental Design & A/B Testing: Designing experiments to support data-driven decisions.
- Model Deployment & Time Series Analysis: Deploying models and analyzing sequential data trends.
- Computer Vision & Web Scraping: Extracting insights from images, videos, and online data sources.
- Big Data & Visualization: Proficient with Hadoop, Spark, and creating impactful data visualizations.
Student Success & Career Support:
- Trained over 1200 students at Apponix Academy with an average rating of 4.8. I offer end-to-end support through:
- Resume Building: Creating impactful, job-ready resumes.
- Interview Prep & Placement: Mock interviews and personalized guidance to secure data science roles.
Data Science Course Overview
The Data Science Course in Bangalore at Apponix is designed to help students and professionals build strong practical skills in Machine Learning, Python Programming, and Artificial Intelligence. This industry-oriented training program combines theoretical concepts with real-time projects, enabling learners to gain hands-on experience with tools and technologies used by leading companies.
The course is suitable for fresh graduates, working professionals, career switchers, and non-programmers who want to enter the fast-growing field of Data Science. With expert-led sessions, live project training, and personalised mentorship, learners develop the confidence to solve real-world business problems using data-driven approaches.
Our curriculum covers Python Programming, SQL, Statistics, Machine Learning, Data Visualisation, AI fundamentals, and cloud-based technologies. As a trusted training institute in Bangalore, Apponix also provides resume-building support, mock interviews, career guidance, and globally recognised IABAC certification to improve placement opportunities with top IT and analytics companies.
Available in classroom, online, and hybrid learning modes, this Data Science Course in Bangalore focuses on practical implementation and job readiness. By the end of the training, learners will be equipped with the skills required for high-demand roles such as Data Scientist, Data Analyst, Machine Learning Engineer, and Business Intelligence Analyst.
Benefits of Enrolling in Our Data Science Course in Bangalore
Enrolling in Apponix’s Data Science Course in Bangalore unlocks a wealth of opportunities to fast-track your career in Bengaluru’s thriving tech hub. Here are the key benefits that set our program apart:
- Industry-Aligned Skills: Master Python, Machine Learning, SQL, and data analytics through 18+ real-world case studies, like sales forecasting and customer insights, ensuring you’re job-ready for roles at top companies like Google and Amazon.
- 90-Day Job Guarantee: Secure a job within 90 days with 8+ guaranteed interview calls, backed by our 95% placement success rate, connecting you to employers like TCS, Wipro, and Accenture.
- Globally Recognized Certifications: Earn IABAC Certified Data Scientist and JainX Advanced Certificate credentials, boosting your resume’s credibility worldwide.
- Free Add-Ons: Gain complimentary AWS, Unix, and 12-month LinkedIn Learning access (worth ₹35,800), enhancing your skill set beyond the core curriculum.
- Flexible Learning: Choose classroom sessions in Marathahalli, online, or hybrid modes, tailored to your schedule, with guidance from trainers of 6+ years of industry experience.
- Personalized Support: Benefit from one-on-one career counselling, resume building, and mock interviews to ensure you stand out in Bengaluru’s competitive job market.
Data Science Course Objectives
- Data science is a rapidly growing field, and proficiency in Python is becoming an essential skill for professionals in a variety of industries. Our Data Science with Python Certification Training Course provides hands-on experience working with Python libraries, giving you practical skills that you can apply in real-world data science scenarios. Here are some reasons why you should consider taking our course:
- Career Advancement: With the increasing demand for data science professionals, proficiency in Python can help you advance your career or transition into a new role. Our certification can demonstrate your expertise in the field, giving you a competitive edge in the job market and enhancing your professional credibility.
- Comprehensive Understanding: Our course covers fundamental concepts, tools, and techniques used in data science, providing you with a comprehensive understanding of the field. You will learn how to use Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn to manipulate and analyze data, build predictive models, and visualize data.
- Hands-On Experience: Our course provides hands-on experience working with real-world datasets, giving you practical skills that you can apply in your job. You will work on projects throughout the course, giving you the opportunity to practice what you've learned and build a portfolio of data science projects.
- Personalized Instruction: Our experienced trainers provide personalized instruction to help you develop proficiency in key areas, such as data manipulation, data visualization, and machine learning. You will receive feedback and guidance throughout the course, helping you to improve your skills and achieve your learning objectives.
- Flexibility: Our course is flexible and can be taken online, allowing you to learn at your own pace and on your own schedule. You can access the course materials and assignments from anywhere, and our trainers are available to answer your questions and provide support throughout the course.
Why is Data Science with Python more popular?
- Python is one of the most popular programming languages used in data science, and for good reason. Python is easy to learn and use, has a large community of developers, and offers a wide range of libraries and tools for data analysis and machine learning. Python is also a versatile language that can be used for a variety of applications, from web development to scientific computing.
- Data Science with Python is becoming more popular because it offers a powerful combination of data analysis tools and programming capabilities. With Python, you can quickly and easily manipulate large datasets, build predictive models, and visualize data. Python also offers a wide range of libraries and frameworks for machine learning, including Scikit-learn, TensorFlow, and PyTorch.
