Data Analytics with Python Pandas Visualization
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MRP: ₹70,000₹41,300All taxes inclusive🎓 Student discount — Click here
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About this Certificate Course: Master data analytics in 32 hours with our “Data Analytics Basics with Python” course. Perfect for corporate staff and career-changers, this program covers environment setup, core Python, NumPy operations, and Pandas data manipulation. Learn to visualize insights with Matplotlib and Seaborn, perform basic statistical analysis, and clean real-world datasets. Hands-on labs and mini-projects—like Employee Attrition Analysis—build portfolio-ready skills. Delivered online or offline by expert instructors, you’ll finish with a complete analytics dashboard to drive data-led decisions and open doors to Data Analyst roles.
Unlock the power of data with our 32-hour “Data Analytics Basics with Python” course—designed for corporate employees, HR/training professionals, and non-technical career-changers. In today’s data-dri…
Read moreUpcoming Training Batches
No scheduled batchesWhat's Included
- Structured Training Modules & Study Materials
- Live Instructor-Led Sessions with Doubt Clearing
- Hands-On Labs, Practice & Real-World Assignments
- Certificate of Participation on Completion
- Recorded Sessions for Flexible Revision
- Lifetime Access to Resource Portal
- Interview Prep & Resume Tips (Add-On)
- Training Coordinator Support (Scheduling & Exams)
- Vendor Exam-Aligned Learning (if applicable)
FAQabout “Data Analytics with Python Pandas Visualization”
- What is the total duration of the Data Analytics with Python course?
The course spans 32 hours, packed with theory, hands-on labs, and mini-projects to build data analysis skills. - Which Python libraries are taught in this data analytics course?
You’ll learn data manipulation with pandas, NumPy for numerical operations, Matplotlib and Seaborn for visualisations. - Will I build a data dashboard (python dashboard) as part of this program?
Yes by the end, you’ll have created a polished analytics dashboard, showcasing data cleaning, analysis, visualisation, and insights. - Who is this data analytics course designed for?
Ideal for corporate employees, HR/training staff, non-technical career-changers, and aspiring data analysts looking to upskill with Python. - How is statistical analysis integrated into the course?
You’ll perform descriptive statistics (mean, median, mode, std dev) and basic hypothesis tests, complemented by real-world dataset examples. - Will I learn about python environment setup?
Yes modules include setting up Anaconda, Jupyter Notebooks, VS Code, Python fundamentals, control flow, functions, and file I/O basics.