Data Analytics with Python

This course provides a comprehensive understanding of Data Analytics using Python, covering both foundational and advanced concepts.

It is designed to strengthen your analytical skills and equip you with the technical knowledge to solve complex problems through data-driven decision-making.

You’ll gain practical experience in handling, analyzing, and visualizing data using powerful libraries like Pandas, NumPy, Matplotlib, and Seaborn.

Additionally, the course introduces statistical analysis, machine learning basics, and real-world projects to prepare you for a career in data analytics, ensuring you’re well-equipped to derive actionable insights from data.

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1 %

Instructor Led

1 %

Certified

Course Tools:

Python-Symbol

What you’ll learn

  • Introduction to Python.
  • Installation and Setup of Anaconda and Jupyter Notebook.
  • Variables and Data Types.
  • Control Structures, Functions, and Modules.
  • Data Handling with Pandas and NumPy.
  • Advanced Data Handling.
  • Data Visualization.
  • Statistical Analysis.
  • Machine Learning Basics.

What you stand to gain

  • Access to datasets and resources to aid practice
  • Certificate of completion
  • Job Referrals and Recommendation Letter
  • Participation in data hackathons which will improve your skills
  • Mentorship
  • Dataleum alumni membership.

Course Features

  • Lectures: Active engagement with enriched course contents
  • 4-5 hours per day || 2 months
  • Assessment: Assignment, presentation, exam.
  • Learning Mode: E-Live, Facilitator-led learning.
  • Pass mark: 75%.
  • Skill level: Intermediate.