Python Programming
This course introduces Python's role in various industries and its importance in enhancing data analysis. Participants will build foundational programming skills, apply data preparation techniques with Pandas, and perform exploratory data analysis to uncover patterns and insights from structured data.
This Course Is Ideal For
This course is most suited for individuas looking to kickstart their journey in programming and data analysis using Python. It's perfect for beginners, data enthusiasts, fresh graduates, business analysts, or professionals from non-technical backgrounds who want to enhance their ability to work with data, uncover insights, and make data-driven decisions in any industry.
This course is most suited for individuas looking to kickstart their journey in programming and data analysis using Python. It's perfect for beginners, data enthusiasts, fresh graduates, business analysts, or professionals from non-technical backgrounds who want to enhance their ability to work with data, uncover insights, and make data-driven decisions in any industry.
This course is most suited for individuas looking to kickstart their journey in programming and data analysis using Python. It's perfect for beginners, data enthusiasts, fresh graduates, business analysts, or professionals from non-technical backgrounds who want to enhance their ability to work with data, uncover insights, and make data-driven decisions in any industry.
What to Expect In This Course
SKILL LEVEL
Intermediate
DURATION
38 Hours
CERTIFICATION
After Completion
LANGUAGE
English
Skill You Will Learn
Understand Python's role across industries and its value in enhancing data analysis
Develop foundational programming skills in Python, including syntax, control flow, lists, strings, loops, and functions
Apply data preparation techniques using panda to clean, transform, and organise structured data
Perform exploratory data analysis (EDA) to identify patterns and trends in datasets
Understand Python's role across industries and its value in enhancing data analysis
Develop foundational programming skills in Python, including syntax, control flow, lists, strings, loops, and functions
Apply data preparation techniques using panda to clean, transform, and organise structured data
Perform exploratory data analysis (EDA) to identify patterns and trends in datasets
Understand Python's role across industries and its value in enhancing data analysis
Develop foundational programming skills in Python, including syntax, control flow, lists, strings, loops, and functions
Apply data preparation techniques using panda to clean, transform, and organise structured data
Perform exploratory data analysis (EDA) to identify patterns and trends in datasets
Programme Module
Lesson 1: The Power of Python
Lesson 2: Basic Python Programming I
Lesson 3: Data Preparation with Python
Lesson 4: Exploratory Data Analysis with Python
Lesson 5: Capstone
Programme Module
Lesson 1: The Power of Python
Lesson 2: Basic Python Programming I
Lesson 3: Data Preparation with Python
Lesson 4: Exploratory Data Analysis with Python
Lesson 5: Capstone
Outcome of Data Analytics Bootcamp
By the end of this course, participants will be able to:
Describe Python’s applications across industries and its role in data analysis.
Write, troubleshoot, and run basic Python scripts using correct syntax, control flow, loops, lists, strings, and functions.
Utilise the Pandas library to clean, transform, and manage structured datasets effectively.
Perform exploratory data analysis (EDA) to identify patterns, trends, and key insights within datasets.
Create impactful data visualisations using Matplotlib to communicate analytical findings clearly.
Apply acquired skills to a practical, real-world task through a capstone project that consolidates learning outcomes.
By the end of this course, participants will be able to:
Describe Python’s applications across industries and its role in data analysis.
Write, troubleshoot, and run basic Python scripts using correct syntax, control flow, loops, lists, strings, and functions.
Utilise the Pandas library to clean, transform, and manage structured datasets effectively.
Perform exploratory data analysis (EDA) to identify patterns, trends, and key insights within datasets.
Create impactful data visualisations using Matplotlib to communicate analytical findings clearly.
Apply acquired skills to a practical, real-world task through a capstone project that consolidates learning outcomes.
By the end of this course, participants will be able to:
Describe Python’s applications across industries and its role in data analysis.
Write, troubleshoot, and run basic Python scripts using correct syntax, control flow, loops, lists, strings, and functions.
Utilise the Pandas library to clean, transform, and manage structured datasets effectively.
Perform exploratory data analysis (EDA) to identify patterns, trends, and key insights within datasets.
Create impactful data visualisations using Matplotlib to communicate analytical findings clearly.
Apply acquired skills to a practical, real-world task through a capstone project that consolidates learning outcomes.
Content Provider
We are a skills transformation organisation that equips workforces with future skills. We offer globally-recognised professional learning & certifications developed by our expert partners, trusted by more than 20k companies and 700k+ professionals around the world.
We are a skills transformation organisation that equips workforces with future skills. We offer globally-recognised professional learning & certifications developed by our expert partners, trusted by more than 20k companies and 700k+ professionals around the world.
We are a skills transformation organisation that equips workforces with future skills. We offer globally-recognised professional learning & certifications developed by our expert partners, trusted by more than 20k companies and 700k+ professionals around the world.
Programme Module
Lesson 1: The Power of Python
Lesson 2: Basic Python Programming I
Lesson 3: Data Preparation with Python
Lesson 4: Exploratory Data Analysis with Python
Lesson 5: Capstone
Programme Module
Lesson 1: The Power of Python
Lesson 2: Basic Python Programming I
Lesson 3: Data Preparation with Python
Lesson 4: Exploratory Data Analysis with Python
Lesson 5: Capstone
