Python for Analytics, Data Science, and Machine Learning

Python is one of the most powerful and most widely used tools for data science, machine learning and artificial intelligence.

20 hours 5 Enrolled 4.5 (4) All Levels

Our comprehensive course on Python programming provides a thorough exploration of the language, covering essential topics such as syntax, data types, control-flow statements, functions, and file handling. Additionally, we delve into advanced concepts including data manipulation and interaction with APIs.

Throughout the course, emphasis is placed on practical applications in the domains of analytics, data science, and machine learning. Using Jupyter notebooks, the primary IDE for these disciplines, participants gain hands-on experience in analyzing data, building models, and deriving insights from real-world datasets.

What you’ll learn

  • Introduction to Python programming
  • Application of python in solving analytics, data science and Machine learning challenges
  • Explore the python syntax and basic data structures
  • Control flow statements and functions
  • File handling and APIs
  • Python Modules for Analytics, Data Science and Machine learning

By the end of the course, participants will have a solid foundation in Python programming and be equipped with the skills necessary to apply their knowledge to a wide range of analytics, data science, and machine learning tasks.

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UGX 200,000

What's included

  • Certificate
  • Video lessons
  • Practice projects and labs
  • Live classes
  • Personal 24/7 mentorship and support

Requirements

  • Personal computer
  • Access to Jupyter Notebooks (local or online)
  • Time commitment (8 hours per week)
  • Desire to learn

Audience

  • Beginners keen on entering data science and machine learning.
  • Individuals aspiring to enhance Python skills for data analysis and visualization.
  • Those transitioning into data-related roles like data analyst or scientist.
  • Anyone passionate about learning and working with data.

What Will I Learn?

  • Introduction to Python programming
  • Application of python in solving analytics, data science and Machine learning challenges
  • Explore the python syntax and basic data structures
  • Control flow statements and functions
  • File handling and APIs
  • Python Modules for Analytics, Data Science and Machine 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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