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 real-world dashboard applications using industry standard tools and techniques with Current Industry Placement Guidance
4.9
(75 ratings)
294 Total Learners
8 Weeks
Industrial Training
Tamil
Batch #2 starts Sep 21, 2026
20% off with code PDA20
What You'll Learn
Programming
Data Extraction
Data Transformation
Data Visualization
Dashboard Building
Real-World Projects
Placement Training
Requirements
Basic Computer Operating Skills
Microsoft Teams
Good Internet Connection
No need of Previous Coding Knowledge
Course Description
Master Python for data analysis from scratch—no prior coding experience needed. This program takes you from core Python fundamentals through pandas, NumPy, data visualization, SQL, and statistics, building real-world skills at every stage. You’ll create portfolio-ready projects that demonstrate your abilities to employers. Dedicated placement training covers resume building, interview preparation, and job search strategy. Perfect for absolute beginners, freshers, and non-IT professionals looking to switch into a data analyst career.
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
7 modules • 54 lessons
Module 1: Python for Data Analyst
8 lessons
Module 2: Pandas Introduction
7 lessons
Module 3: Data Cleaning & Transformation with Pandas
15 lessons
Module 4: Data Visualization with Matplotlib
10 lessons
Module 5: Dashboard Building
7 lessons
Module 6: Projects
1 lesson
Module 7: Placement Training
6 lessons
Our Advantage
Why Choose This Course
01Live, instructor-led training with real-time doubt support
02Focus on end-to-end analytics workflow
03Includes hands-on projects and real-world datasets
04Designed to make you job-ready with interview-focused training
05Placement Training with Job Application Guidance
Your Instructors
Leelavathi Ramesh
Business Intelligence Analyst
10
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.
Parthiban Kannan
Co-founder & Manager
10
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.
Course Outcomes
What Our Students Build
Articles, projects, research papers and more — real work by our learners applied beyond the classroom.
Yes, the course starts from basics and gradually moves to advanced concepts.
02Is 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
03Will I get hands-on practice?
Yes, the course includes practical exercises, assignments, and real-world projects.
04Is this course suitable for job seekers?
Yes, it is designed specifically to help you become job-ready for Data Analyst roles.
05Do I need prior coding knowledge?
No, the course is beginner-friendly and does not require prior coding experience.
06What happens after completing the course?
You will be equipped with job-ready skills and can apply for data analyst roles.
07Will I learn data visualization and app building?
Yes, you will learn data visualization using Matplotlib and Seaborn, and build dashboard apps using Streamlit.
08How 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.
Amsavalli Mylasalam
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