
Manage the entire data workflow. Learn how to clean and filter corporate logs in Microsoft Excel, perform advanced custom data analysis using Python, manipulate arrays/datasets using Pandas & NumPy, query structures in MySQL databases, and deploy dashboard reports.
* EMI options and flexible batch schedules available upon inquiry.
For Pro Plan
12 Months
Online / Offline
Live + Recorded
10+ Tools
A full-stack data analyst manages the entire data workflow, from collecting and storing raw data to cleaning, analyzing, and visualizing it, ensuring seamless insights and data-driven decisionmaking.

Real-World Relevant Syllabus
All-in-One Learning Material
Interactive Live Classes
Hands-on Final Project
Practical Exercises & Assessments
Certification of Completion
Career Guidance & Interview Prep
24x7 Learning Assistance

Python

Jupyter Notebook

Pandas

NumPy

MySQL

Microsoft Excel

Git & GitHub

Python

Jupyter Notebook

Pandas

NumPy

MySQL

Microsoft Excel

Git & GitHub

Python

Jupyter Notebook

Pandas

NumPy

MySQL

Microsoft Excel

Git & GitHub

Python

Jupyter Notebook

Pandas

NumPy

MySQL

Microsoft Excel

Git & GitHub

Python

Jupyter Notebook

Pandas

NumPy

MySQL

Microsoft Excel

Git & GitHub
Introductory lectures are fully unlocked for you to preview! Click any lecture with a play icon to load the lecture video in our interactive player.
Work on hands-on web projects built during different modules of the course curriculum.
See the actual live deployments coded by our graduates.

Full Stack Development · Digital Marketing · Data Analytics
Industry Exp
Teaching Exp
Mentor at ASP Computer Coding
Flexible video modules – Learn Excel & Python fundamentals on your own schedule.
Official completion certificate.
1 Live doubt session every Sunday.
Not included.
Hybrid learning – recorded videos plus interactive live doubts on weekends.
Professional certification of achievement.
7 Live Doubt Rooms – Monday to Sunday.
Weekly assignments evaluated with feedback.
Guaranteed placement assistance, mock panels, profile audits.
Participate in live interactive cohorts for advanced topics.
Direct 1-on-1 counseling with analytics managers.
Get connected with our academic experts and discover what paths are best for your career future.
Showcase your skillset on LinkedIn or resume with a verified digital certificate. You must satisfy the following criteria:

Hear directly from our alumni about how ASP transformed their careers and helped them achieve their professional goals.
Enhance your skills with our Data Analysis Course at ASP Computer Coding, combining classroom learning, AI tools, and real-world case studies for an immersive hands-on experience. This course is ideal for learners who prefer structured in-person training and interactive peer collaboration.
Our comprehensive program covers Python programming, data cleaning, visualization, SQL, Power BI, and Excel automation — guiding you from data collection to insight generation. Designed for both beginners and professionals, this course helps you build a strong foundation in data analytics, empowering you to solve real-world business problems confidently.
Structured Classroom Learning:Learn directly from experienced data professionals with personalized mentorship and live problem-solving sessions.
Industry-Relevant Curriculum:Master tools like Python, Pandas, NumPy, MySQL, Power BI, Excel, and APIs aligned with current data industry standards.
Hands-on Project Work:Work on real-world datasets and projects including sales analysis, financial forecasting, and data visualization dashboards.
Career Assistance:Get help with resume building, interview preparation, case study discussions, and placement guidance from our expert mentors.
Certification:Earn a Data Analysis Certification from ASP Computer Coding upon successful course completion.
This Full-Stack Data Analysis course is designed for students and professionals who want to master data analysis from scratch. You’ll learn Excel, Python, Pandas, MySQL, and real-world data projects — preparing you for data-driven roles in any industry.