Python Development

Learn Python, the most popular programming language for data analysis, machine learning, and web development.

python-development

Enrollment

Pre-register yourself for the next cohort

Program Duration

5 months

Learning Format

Online

What You Will Learn

  • Have a fundamental understanding of the Python programming language.
  • Have the skills and understanding of Python to confidently apply for Python programming jobs.
  • Acquire the pre-requisite Python skills to move into specific branches - Machine Learning, Data Science, etc..
  • Add the Python Object-Oriented Programming (OOP) skills to your résumé.
  • Understand how to create your own Python programs.
  • Learn Python from experienced professional software developers.
  • Understand both Python 2 and Python 3.

Course Syllabus

Program Offerings

Practical Skills

You will learn practical skills in emerging careers that make you more valuable and appealing to employers

Projects

You will acquire the knowledge to create portfolio-worthy projects showcasing your skills

Mentorship

Experts working in the industry will mentor you in becoming successful professionals with leadership skills

Certification

Earn two career certificates

Include this achievement on your LinkedIn profile, resume, or CV as a testament to your professional growth and development.

Module 7

Clean Data, Assignment Prep

Module 8

Cleaning Data with SQL, Verify and Report Cleaning Results

Module 9

Adding Data to Resume + Course Challenge

Module 10

Organizing Data to Begin Analysis, Formatting and Adjusting Data

Module 11

Aggregating Data for Analysis, Performing Data Calculations

Module 12

Visualizing Data, Creating Data Visualizations with Tableau

Module 13

Crafting Data Stories, Developing Presentations and Slideshows

Module 14

Programming and Data Analytics, Programming using R Studio

Module 15

Working with Data in R, More About Visualizations, Aesthetics and Annotations

Module 16

Documentation and Reports, Learn About Capstone Basics

Module 17

Building Your Portfolio + Using Your Portfolioo

Module 18

Putting Your Certificate to Work

Module 19

Introduction to Probability and Data with R

Module 20

Inferential Statistics

Module 21

Linear Regression and Modelling

Module 22

Bayesian Statistics

Module 23

Statistics with R Capstone (Final Project)

Module 24

Job - Interview Mocking and Training

Module 7

Clean Data, Assignment Prep

Module 8

Cleaning Data with SQL, Verify and Report Cleaning Results

Module 9

Adding Data to Resume + Course Challenge

Module 10

Organizing Data to Begin Analysis, Formatting and Adjusting Data

Module 11

Aggregating Data for Analysis, Performing Data Calculations

Module 12

Visualizing Data, Creating Data Visualizations with Tableau

Module 13

Crafting Data Stories, Developing Presentations and Slideshows

Module 14

Programming and Data Analytics, Programming using R Studio

Module 15

Working with Data in R, More About Visualizations, Aesthetics and Annotations

Module 16

Documentation and Reports, Learn About Capstone Basics

Module 17

Building Your Portfolio + Using Your Portfolioo

Module 18

Putting Your Certificate to Work

Module 19

Introduction to Probability and Data with R

Module 20

Inferential Statistics

Module 21

Linear Regression and Modelling

Module 22

Bayesian Statistics

Module 23

Statistics with R Capstone (Final Project)

Module 24

Job - Interview Mocking and Training

Module 7

Clean Data, Assignment Prep

Module 8

Cleaning Data with SQL, Verify and Report Cleaning Results

Module 9

Adding Data to Resume + Course Challenge

Module 10

Organizing Data to Begin Analysis, Formatting and Adjusting Data

Module 11

Aggregating Data for Analysis, Performing Data Calculations

Module 12

Visualizing Data, Creating Data Visualizations with Tableau

Module 13

Crafting Data Stories, Developing Presentations and Slideshows

Module 14

Programming and Data Analytics, Programming using R Studio

Module 15

Working with Data in R, More About Visualizations, Aesthetics and Annotations

Module 16

Documentation and Reports, Learn About Capstone Basics

Module 17

Building Your Portfolio + Using Your Portfolioo

Module 18

Putting Your Certificate to Work

Module 19

Introduction to Probability and Data with R

Module 20

Inferential Statistics

Module 21

Linear Regression and Modelling

Module 22

Bayesian Statistics

Module 23

Statistics with R Capstone (Final Project)

Module 24

Job - Interview Mocking and Training