Python for Data Analysis | Drop Outs Personalized Learning
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Python Programming (NumPy, Pandas)

Master the essentials of Data Science by learning Python's most powerful libraries. Transform raw data into meaningful insights with hands-on practice in NumPy and Pandas.

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👥 250+ Enrolled

What You'll Learn

  • Master Python core concepts tailored specifically for data manipulation and analysis.
  • Utilize NumPy arrays for high-performance mathematical and logical operations.
  • Implement Pandas DataFrames to clean, filter, and transform complex datasets.
  • Learn techniques for handling missing data and merging diverse data sources.
  • Perform advanced data indexing, slicing, and grouping for statistical reporting.
  • Build foundational skills required for Machine Learning and Big Data tracks.

Prerequisites

Basic requirements to start this journey:

  • Basic understanding of computer operations and file management.
  • No prior programming experience required (we start from the basics).
  • A laptop or PC with at least 4GB RAM (All software used is open-source).

Career & Salary Outlook

Junior Data Analyst$65,000 - $85,000
Python Developer$80,000 - $120,000
Data Engineer$95,000 - $140,000
Business Intelligence Analyst$75,000 - $110,000

* Salaries vary based on location, experience, and company size.

Who Is This For?

Aspiring Data Scientists Business Analysts College Students Career Switchers Finance Professionals
2 Credits/Hr 5.00
Duration: 30 Hours
Skill Level: Beginner
Lectures: 35 Lessons
Certificate: Yes
Access: Lifetime

This course includes:

  • 1:1 Live Interactive Sessions
  • Pandas Cheat Sheets
  • Real-world Data Projects
  • Jupyter Notebook Templates
  • Career Placement Support