Data Science with Python

Python is a powerful programming language in the world of analytics, data science and machine learning.

40 hours 0 Enrolled No ratings yet Beginner

Introduction

Unlock the potential of data science with our comprehensive Data Science with Python course. In today’s data-centric landscape, mastering data analysis is crucial for professionals across diverse industries. This course is meticulously crafted to furnish you with the fundamental knowledge and hands-on skills essential for excelling in data analysis using Python.

Throughout this course, you’ll embark on an enriching journey into Python’s vast capabilities as a robust tool for data manipulation, analysis, and visualization. Starting from the basics, you’ll learn the art of cleaning and preprocessing raw data, implementing statistical methods, and crafting compelling visualizations to extract actionable insights.

As you progress, you’ll delve deeper into advanced analytics concepts such as regression analysis, forecasting, and scenario modeling, empowering you to make data-driven decisions and propel business growth. Through immersive exercises and real-world case studies, you’ll apply your newfound expertise to solve real-life data analysis challenges.

Whether you’re a seasoned professional seeking to enhance your analytical prowess, a student eager to kickstart a career in data science, or a Python enthusiast keen on unleashing its full potential, this course serves as your gateway to mastering data science with Python. Join us and embark on the transformative journey towards becoming a proficient data scientist!

What you’ll learn

  • Introduction to Data Science
  • Data Science Tools and Methodology
  • Data Science Tools and Methodology
  • Crush Course on Python for Data Science and Machine Learning
  • Data Manipulation and Cleaning with Pandas
  • Supervised learning
  • Unsupervised learning

Enroll now and embark on your journey to unleash the power of data analytics with Python!

Course Duration

1 month, 40 hours at 10 hours per week, 2 hours per day

The first week is full time learning (classroom) the rest of the time is for practicing and handling real world projects

Study Model

  • Physically at our training center,
  • Physical (client preferred location)
  • Online
  • Both

Study Fees

NOTE: The fees indicated on the course are those who would like to take it in an online model, otherwise, the actual fees are stated below

Ugandans
  • Physical with Meals – UGX. 750,000
  • Physical without Meals – UGX. 500,000
  • Online – 400,000
None Ugandans
  • Physical with Meals – USD 250
  • Physical without Meals – USD 180
  • Online – USD 120

Course Prerequisites

Before embarking on this course you are advised to cover our Data Analytics with Python Course as this is a bit more advanced for absolute beginners

Python for Analytics, Data Science, and Machine Learning

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UGX 200,000

Version Control and Git for Data Professionals

  • 10 hours
  • Beginner
No ratings yet
UGX 100,000

Data Analytics with Python

  • 8 hours
  • Beginner
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UGX 350,000

Python for Analytics, Data Science, and Machine Learning

  • 20 hours
  • All Levels
  • 4.5 (4)
Redea Institute of Data Science
Redea Institute of Data Science

Version Control and Git for Data Professionals

  • 10 hours
  • Beginner
  • No ratings yet
Redea Institute of Data Science
Redea Institute of Data Science

Data Analytics with Python

  • 8 hours
  • Beginner
  • No ratings yet
Redea Institute of Data Science
Redea Institute of Data Science

 

Show More
UGX 400,000

What's included

  • Course Certificate
  • Video lessons
  • Reading Material
  • 24/7 support & Mentorship

Requirements

  • Computer for practice
  • Access to internet
  • No prior experience in Python programming
  • Some knowledge of data analysis is recommended

Audience

  • Professionals looking to enhance their data science skills using Python.
  • Students and beginners interested in learning data science.
  • Business professionals, analysts, and anyone involved in handling and interpreting data.

What Will I Learn?

  • Introduction to Data Science
  • Data Science Tools and Methodology
  • Crush Course on Python for Data Science and Machine Learning
  • Data Manipulation and Cleaning with Pandas
  • Supervised learning
  • Unsupervised learning

Redea Institute of Data Science

Analytics, Data Science & Machine Learning Training Institute

4.4Instructor Rating
15
Students
9
Courses
12
Reviews

We Envision A World Where All Decisions Are Data-Driven. We Are More Than Committed To Empower Individuals, Companies, For-Profit And Non-Profit Entities Leverage Data To Lay A Better Foundation For Decisions.

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