Python for Data Science and Data Analysis Bootcamp

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  • Must be a UK resident
  • Must be 18+ years old
  • Must have a UK bank account

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Python for Data Science and Data Analysis Bootcamp
Total Duration: 20 Hours
Course level: Beginner
Delivery Method: Instructor led online training
Certification: Certificate of Completion will be provided after completing the course

Course Overview

This Bootcamp is designed for beginners who wish to become a software developer by using Python, which is a widely used general-purpose, high-level programming language. It is an online classroom-based course that covers the essential topics to start programming with Python.

In this Bootcamp, you will also learn the concepts and tools to utilize in a data science project. You will be taught a practical approach to developing an end-to-end data science project cycle right from extracting data from different types of sources to exposing your machine learning model that can be consumed in a real-world data solution. We will teach an industry-standard approach to data science projects using Python.

The students will learn to use various standard libraries in the Python ecosystem such as Pandas, NumPy, Matplotlib, Scikit-Learn, Flask to tackle different stages of a data science project such as extracting data, cleaning and processing data, building and evaluating machine learning model.

After the completion of this Bootcamp, participants will have a solid foundation to handle any data science project and have the knowledge to apply various Python libraries to create a data science solution.

Skills Required

No existing knowledge of Python programming is required. You should have basic computing knowledge.

Course Dates, Prices & Enrolment

There is no date for this course at this moment. Please complete the BOOKING REQUEST FORM below or come back to this page again later.

Full Course Outline

  1. Python Modes
    • Normal
    • Interactive
  2. Built-in Functions
    • Help utility
    • Keywords
    • Symbols
  3. Variables
    • Data type
    • Identifier
    • Assignment operator
    • Value
  4. Python Statements
    • Carriage returns
    • Colon :
    • Indentation
  5. Keyboard Input
    • Built-in Function
    • Prompt
  6. Selection Statements
    • Boolean expressions and variables
    • The if Statement
    • Nested-if Statements
  7. Repetition Statements (Loops)
    • The while Statement
    • The for Statement
    • Nested-for Statements
  8. Python Containers
    • Tuple
    • List
    • Set
    • Dictionary
  9. File Input and Output
    • File Object
    • High-Level File I/O
  10. Python for Data Science - Introduction
  11. Setting up Working Environment
  12. Extracting Data from multiple sources
  13. Data Cleansing and pre processing
  14. Exploring and Processing Data
  15. Building and Evaluating Predictive Models

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