Industry Skills Online Live

Data Analyst – Bootcamp

This course is designed to transform you from a beginner into a confident Python-based Data Analyst who can analyze data, build visualizations, and develop 7 real-world dashboard applications using industry standard tools and techniques.

4.9 (63 ratings)
237 enrolled 8 to 9 Weeks | 1 to 2 hours/day Industrial Training Tamil

What You'll Learn

  • Programming
  • Data Extraction
  • Data Transformation
  • Data Visualization
  • Dashboard Building
  • Real-World Projects

Requirements

  • Basic Computer Operating Skills
  • Microsoft Teams
  • Good Internet Connection

Tools & Technologies

Python Python
Pandas Pandas
NumPy NumPy
Matplotlib Matplotlib
Seaborn Seaborn
Streamlit Streamlit

Course Description

A structured, industry-aligned live program focused on real-time data analysis practices. Learn through hands-on sessions and practical datasets, building dashboards modeled on real business domains like Sales, HR, and Finance. Every project mirrors the kind of analysis companies expect from a working analyst, not just theory. Walk away with the skills and a portfolio to confidently analyze data and deliver meaningful business insights.

Right for You?

Who This Course is For

  • Aspiring Data Analysts looking for structured, guided learning
  • Job seekers preparing for data analytics interviews
  • Students aiming to enter the analytics domain with practical skills
  • Professionals planning a career switch into Data Analytics

Course Curriculum

6 modules • 48 lessons
Module 1: Python for Data Analyst 8 lessons
  • Introduction to Python & Environment Setup
  • Python Syntax & Data Types
  • Variables, Operators & Expressions
  • Conditional Statements & Loops
  • Functions & Modules
  • Lists, Tuples, Sets & Dictionaries
  • File Handling & Exception Handling
  • Python Libraries Overview for Data Analysis
Module 2: Pandas Introduction 7 lessons
  • Introduction to Pandas
  • Series & DataFrame Basics
  • Reading Data from CSV, Excel & JSON
  • Reading Data from SQL Database
  • Reading Data from Web & APIs
  • Indexing, Selection & Slicing
  • Filtering & Querying Data
Module 3: Data Cleaning & Transformation with Pandas 15 lessons
  • Introduction to NumPy & Arrays
  • NumPy Array Operations & Math Functions
  • NumPy Statistical Operations
  • Handling Missing Values & Null Data
  • Handling Duplicates & Inconsistent Data
  • Data Type Conversion & Formatting
  • Renaming, Reordering & Dropping Columns
  • Sorting & Ranking Data
  • Grouping & Aggregation
  • Merging, Joining & Concatenating DataFrames
  • Pivot Tables & Cross Tabulation
  • String Operations & Text Cleaning
  • Date & Time Operations
  • Apply, Map & Lambda Functions
  • Window Functions & Rolling Calculations
Module 4: Data Visualization with Matplotlib 10 lessons
  • Introduction to Matplotlib
  • Data Visualization Principles & Best Practices
  • Line Charts & Area Charts
  • Bar Charts & Horizontal Bar Charts
  • Pie & Donut Charts
  • Scatter Plots & Bubble Charts
  • Histograms & Distribution Plots
  • Box Plots & Whisker Charts
  • Subplots & Multiple Figures
  • Customizing Charts - Titles, Labels, Colors & Styles
Module 5: Dashboard Building with Streamlit 7 lessons
  • Introduction to Streamlit
  • Setting Up Streamlit Environment
  • Streamlit UI Components - Text, Headers & Layout
  • Input Widgets - Slicers, Dropdowns & Filters
  • Displaying DataFrames & Tables
  • Integrating Matplotlib & Seaborn Charts
  • Deploying Streamlit Application
Module 6: Projects 1 lesson
  • Building Analytical Dashboard
Our Advantage

Why Choose This Course

  • Live, instructor-led training with real-time doubt support
  • Focus on end-to-end analytics workflow
  • Includes hands-on projects and real-world datasets
  • Designed to make you job-ready with interview-focused training

Your Instructors

Parthiban Kannan

Parthiban Kannan

Co-founder & Manager

21 Courses

14+ years of experience in digital transformation, leading teams of 15+ members and delivering 160+ projects for organizations like Lakshmi Machine Works, Milacron, Schneider Electric, Aatomz Research, and Variablz Technologies. AI innovator with a patent approved by the Government of India, with strong expertise in Data Science, Data Analysis, Business Intelligence, and Software Development.

Leelavathi Ramesh

Leelavathi Ramesh

Business Intelligence Analyst

11 Courses

4+ years of experience as a Business Intelligence Analyst, with hands-on expertise at Variablz Technology and Schneider Electric. Statistics graduate with practical experience across Marketing, Production, and Sales Analytics.

Course Outcomes

What Our Students Build

Articles, projects, research papers and more — real work by our learners applied beyond the classroom.

View All Outcomes
FAQ

Frequently Asked Questions

Is this a beginner-friendly course?

Yes, the course starts from basics and gradually moves to advanced concepts.

Is this a live or recorded course?

This is a live, instructor-led course with real-time interaction and support and course recordings will be shared. Also recordings will be shared until the students get their certificate

Will I get hands-on practice?

Yes, the course includes practical exercises, assignments, and real-world projects.

Is this course suitable for job seekers?

Yes, it is designed specifically to help you become job-ready for Data Analyst roles.

Do I need prior coding knowledge?

No, the course is beginner-friendly and does not require prior coding experience.

What happens after completing the course?

You will be equipped with job-ready skills and can apply for data analyst roles.

Will I learn data visualization and app building?

Yes, you will learn data visualization using Matplotlib and Seaborn, and build dashboard apps using Streamlit.

How much the certificate is worth?

The certificate is Aadhar verified and downloadable for life-time, so the student can share it via resume and linkedin to get the recruiter attention.

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