Data Analytics with Python Course | Job-Oriented Training

Description

📊 Data Analytics with Python – Complete Job-Oriented Course

Kickstart your career in Data Analytics with our industry-focused Data Analytics with Python course designed for beginners and graduates. Learn how to analyze data, create insights, and build real-world projects using Python.

This course covers everything from basic concepts to advanced analytics, making you job-ready in today’s data-driven world.

🚀 What You Will Learn:

  • Python Basics for Data Analysis

  • Data Handling using Pandas & NumPy

  • Data Visualization (Matplotlib, Seaborn)

  • Data Cleaning & Preprocessing

  • Real-time Projects & Case Studies

  • Excel & Basic SQL for Analytics

💼 Why Choose This Course:

  • Beginner-friendly (No coding background required)

  • Practical training with real-time datasets

  • Industry-relevant curriculum

  • Resume & interview preparation support

📈 Career Opportunities:

After completing this course, you can apply for roles like:

  • Data Analyst

  • Junior Data Scientist

  • Business Analyst

Content

Overview, Importance & Core Libraries (NumPy, Pandas, Matplotlib, Seaborn)
00:17:00

Overview, Importance & Core Libraries (NumPy, Pandas, Matplotlib, Seaborn)

17 mins
NumPy Arrays – Creation, Indexing, and Slicing
00:20:40

NumPy Arrays – Creation, Indexing, and Slicing

20 mins 40 secs
NumPy Attributes, Operations, and Statistics
00:50:29

NumPy Attributes, Operations, and Statistics

50 mins 29 secs
Pandas – Data Structures, Cleaning, and Aggregation
00:56:44

Pandas – Data Structures, Cleaning, and Aggregation

56 mins 44 secs
Foundations of Data Analytics with Python: Advanced Merging, Visualization, and EDA
00:44:15

Foundations of Data Analytics with Python: Advanced Merging, Visualization, and EDA

44 mins 15 secs

Data Analytics with Python Course | Job-Oriented Training

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