Industry Skills Online Live

Data Analyst

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 simple data applications using real-world tools and techniques.

4.9 (57 ratings)
231 enrolled 8 to 9 Weeks | 1.5 hours/day Industrial Training Tamil

What You'll Learn

  • Programming
  • Data Extraction
  • Data Transformation
  • Data Visualization
  • Dashboard Building

Requirements

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

Tools & Technologies

Python Python
Pandas Pandas
Matplotlib Matplotlib
Streamlit Streamlit

Course Description

A structured, industry-aligned live program focused on real-time data analysis practices. Learn through hands-on sessions, practical datasets, and industry tools—building the skills required to 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 • 50 lessons
Module 1: Python for Data Analyst 10 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
  • Object Oriented Programming Basics
  • Python Libraries Overview for Data Analysis
  • Python Interview Preparation
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
  • Capstone Project
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

17 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

9 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

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 roles like Data Analyst or MIS Executive.

Will I learn data visualization and app building?

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

What will I achieve after completing this course?

You will be able to perform data analysis using Python and apply for roles like Data Analyst or Python Data Analyst.

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