Course Overview
- 100% Practical Training
- Industrial Expert Trainer
- Live App Testing
- Internship experience letter
- Communication Skill
- Personality Development
- Interview Preparation
- 100% Placement Assistance
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Best Data Science Course in Bangalore
Step into the world of data with practical training, practice-oriented training curriculum with our Data Science Course Classes in Bangalore. Whether you are a student, professional, or career changer, once you enrol in this program, you know your better career days are ahead. Get the guidance from the real industry experts and learn for an advanced data based career.
Bangalore is recognised as India’s technology and innovation hub. It is home to hundreds of startups, tech giants, research bodies etc. The demand for proper analytics teams across these sectors will be there forever. It includes IT, healthcare, fintech, e-commerce, finance and much more. Organisations here depend on data insights and it has a thriving ecosystem where your knowledge on data science will never go for a waste.
Varun Sonavane
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After Training
Henil Gajjar
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After Training
Mayank Verma
Before Training
After Training
350+ Companies are hiring from
STAD Solution
Our Facts & Figures
Eligibility
Fresher / Professionals
No prior coding knowledge is required.
Any Degree - B. Tech, BSc, B.Com, BBA, etc.
All IT & Non-IT Branches - CS, EE, Civil, Mech, etc
Job Roles
- Data Analyst
- Data Visualization Specialist
- Market Research Analyst
- Data Engineer
- Power BI Developer
many More..
Student Reviews
Thousands of positive review from our past students
Best Training
Mayank Verma
Hands-On Training
Arpi Patel
Qualified Faculties
Tarshul Mehta
Practical Training
Dhruvi Parikh
Personalized Attention
Aman Gohil
Quality Training
Dipesh Chauhan
Our Training Methodology
Best Data Science Course Training in Bangalore
What Makes These Classes Different
Aligned With Real Job Needs
Our course masters know what a job will need. So, instead of focusing solely on theory, our curriculum emphasizes on the techniques that are actually used in business settings.
Skills for Multiple Career Paths
There will be a gamut of job options if you master data science. This is because, the knowledge in not based on any industry. You can find opportunities in business intelligence, machine learning support, data operations, as well as in strategy roles.
How These Classes Are Conducted
Our teaching method is made to perfect in a way that helps learning. It has –
- Live, interactive online sessions where you can discuss with the instructors
- Get into engaging practice exercises with guided explanations
- Get a grasp of the project tasks that reflect business scenarios
- Learn from the regular feedback from mentors
- Benefit from group support and doubt resolution activities
Who Should Enrol in These Classes
These data science classes are ideal for:
- Any graduate and/or final-year students looking for a career move in analytics roles
- Professionals who want to understand data science
- Business people who knows the importance of data-informed decision capabilities
- Individuals shifting careers into technical or analytics fields
Career Opportunities You Can Pursue
Completing this training helps prepare you for roles such as:
- Data Analyst – where you can decode patterns and trends
- Associate Data Scientist – for those who want to build and test models
- Business Intelligence Analyst – whoever are interested in turning data into actionable business insights
- Machine Learning Assistant – if you want to support predictive solutions
- Data Operations Specialist – when you want to manage analytical workflows
Curriculum
Fundamentals
What is Data Analytics?
Importance of Data Analytics in Business
Types of Data Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
Microsoft Excel
Basic Functions and Formulas
Arithmetic Operations
Statistical Functions
Data Cleaning and Preparation
Removing Duplicates
Data Formatting
Data Visualization
Charts and Graphs
Conditional Formatting
Pivot Tables and Pivot Charts
Creating and Analyzing Pivot Tables
SQL and MySQL
Understanding Databases
Basic SQL Commands : SELECT, INSERT, UPDATE, DELETE
Filtering Data
Joins and Subqueries
INNER JOIN, LEFT JOIN, RIGHT JOIN
Writing Subqueries
Python
Python Basics
Syntax and Data Types
Control Structures (Loops and Conditionals)
Working with Libraries
Installing Libraries (pip)
Introduction to Jupyter Notebook
Data Manipulation with Pandas
DataFrames and Series
Data Cleaning and Preparation
Handling Missing Data
Filtering and Selecting Data
Data Aggregation and Grouping
Merging and Joining Data Frames
Numerical Analysis with NumPy
Introduction to NumPy
Arrays and Their Properties
Array Operations
Mathematical Functions
Statistical Functions
Power BI
Data Visualization with Power BI
Introduction to Power BI
Power BI Desktop vs. Power BI Service
Data Importing and Preparation
Connecting to Data Sources
Data Transformation using Power Query
Creating Reports and Dashboards
Visualizations: Charts, Tables, Maps
Slicers and Filters
Tableau
Introduction to Tableau
Connecting to Data Sources
Creating Basic Visualizations
Bar Charts, Line Charts, Scatter Plots
Building Dashboards
Combining Visualizations
Interactivity in Dashboards
Capstone Project
Real-world Data Analysis Project
Applying Skills Learned
Data Collection, Cleaning, Analysis, and Visualization
Presentation of Findings
Version Control with GitHub
Introduction to Git and GitHub
Setting Up a GitHub Account
Basic Git Commands
Git init, Git add, Git commit, Git push
Collaborating on GitHub
Forking and Cloning Repositories
Pull Requests
Non-Tech Preparation
Task management
Communication Skills
Presentation Skills
Interview Preparation
Resume Prep
LinkedIn
Job Hunting & outreaching
Interview Preparation
Mock Interviews
FAQs
Are these classes suitable for beginners?
Yes. It is. Work and learn at your own pace.
Will I work with real datasets?
Absolutely. You can learn from the hands-on project practice.
How will this programme help with job preparation?
Along with technical training, our experts will help in resume creation, mock interviews, and placement support.
How practical is the training approach?
The programme is highly application-focused because there will be structured assignments and projects.
Will this course help me transition into a data-focused role?
Yes. The curriculum is designed to help you build a deep understanding of the core analytical skills.
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