Python - Dataleum

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.

0 %

Instructor led

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Certified

LEARNING MODEL

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.

Course Features

Lectures: Active engagement with enriched course content.
4-5 hours per day || 8 weekends.
Class size: 35.
Physical, e-live learning, self-paced learning.
Skill level: Intermediate.
Assessment: Assignment, presentation, exam.
Pass mark:75%.
Certification: Yes.

Course Benefits

Certificate of course completion.
Access to multiple datasets and resources to aid practice.
Job referrals and recommendation letter.
Dataleum alumni membership.
Participate in hackathons, seminars, and events by Dataleum.
Mentorship.