Data Analytics & Visualization

Data Analytics with Python

Learn to analyze, visualize, and interpret data using Python. Master libraries like Pandas, NumPy, and Matplotlib while working on real-world datasets and case studies.

  • Python Essentials for Data Analysis
  • Data Wrangling with Pandas
  • Statistical Analysis & EDA
  • Data Visualization with Matplotlib & Seaborn
  • Capstone Project with Real Data

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Explore Course Content

$ parichaya learn dataanalytics

  1. Introduction & Python Basics2hr
  2. NumPy for Data Analysis1hr 30min
  3. Pandas for Data Wrangling3hr
  4. Data Visualization2hr 30min
  5. Exploratory Data Analysis (EDA)3hr
  6. Capstone Project4hr

6 modules · 20 lessons · 16h

Level
Intermediate
Duration
4 + 2 Months
Modules
6
Lessons
20
Fee
29,999

16 hours of content

01 — Overview

Course Overview

This Data Analytics training equips learners with core skills in Python, data cleaning, wrangling, and visualization. It prepares you to extract insights and support decision-making using real-world datasets.

Through hands-on modules and capstone projects, you’ll gain practical expertise in tools like Pandas, NumPy, and Matplotlib, ensuring you're job-ready for analytics and business intelligence roles.

Key Learning Modules

  • FoundationsPython refresher & setup
  • NumPyNumerical computing essentials
  • PandasData cleaning & wrangling
  • VisualizationMatplotlib & Seaborn
  • Exploratory AnalysisPatterns & business insights
  • Capstone ProjectPortfolio-ready data project

02 — Syllabus

Course Content

6 modules

    • Python Refresher40min
    • Data Types & Structures40min
    • Working with Jupyter Notebook40min

03 — Outcomes

Course Outcomes

By the end of this course, you’ll confidently analyze and visualize data, providing actionable insights that support data-driven decisions.

  • Analyze datasets with Python, Pandas & NumPy
  • Clean & prepare real-world data
  • Create dashboards & reports using visualization tools
  • Perform exploratory data analysis with case studies

04 — Requirements

Requirements

  • Basic Python knowledge (variables, loops, functions)
  • Laptop/Desktop with 4GB RAM minimum
  • Jupyter Notebook installed

05 — Where it leads

Where This Course Can Take You

Graduates from this course have pursued careers in analytics, consulting, and data-driven business roles:

  • Data AnalystAnalyze datasets to extract insights & support business strategy.₹5–9 LPA
  • Business AnalystBridge data and decision-making for strategic growth.₹6–10 LPA
  • Junior Data ScientistAssist in statistical modeling & exploratory research.₹7–12 LPA
29,999