Get In Touch
Course Outline

Unlock Data Insights

Getting Started with Data Science in Python

Rating

9/10

Duration

3 Days

Course Overview

This course provides a hands-on introduction to data science using Python, one of the most popular programming languages for data analysis. Participants will learn the basics of Python programming, explore essential libraries for data manipulation and visualization, and apply these skills to analyze real-world datasets. By the end of the course, participants will have a strong foundation in using Python for data science projects.

Format of Training

  • Instructor-led sessions with practical coding examples
  • Hands-on lab exercises with Python programming
  • Interactive discussions and problem-solving activities
  • Real-world datasets for applied learning

Course Objectives

  1. Understand the basics of Python programming for data science.
  2. Use key Python libraries like Pandas, NumPy, and Matplotlib.
  3. Perform data cleaning, manipulation, and exploration tasks.
  4. Create data visualizations to uncover insights.
  5. Analyze datasets to answer specific questions.
  6. Understand the fundamentals of working with Jupyter Notebooks.
  7. Develop confidence in applying Python to data science problems.

Prerequisites

  • No prior programming experience required
  • Familiarity with basic computer operations
  • Interest in learning Python for data analysis
  • Willingness to participate in hands-on coding exercises
Course Outline

Day 1
Session 1: Introduction to Python for Data Science

  • Overview of Python and its applications in data science
  • Setting up the Python environment (Anaconda, Jupyter Notebook)
  • Writing your first Python program

Session 2: Python Basics for Beginners

  • Variables, data types, and basic operations
  • Control structures: Loops and conditionals
  • Hands-on lab: Writing simple Python scripts

Session 3: Working with Python Libraries

  • Introduction to NumPy and Pandas
  • Basic operations with arrays and data frames
  • Hands-on lab: Exploring datasets with Pandas

Day 2
Session 1: Data Cleaning and Preparation

  • Handling missing data and duplicates
  • Transforming and filtering data
  • Hands-on lab: Cleaning a messy dataset

Session 2: Exploratory Data Analysis (EDA)

  • Descriptive statistics and data summarization
  • Identifying patterns and trends in data
  • Hands-on lab: Performing EDA on a dataset

Session 3: Data Visualization with Python

  • Creating charts and plots with Matplotlib and Seaborn
  • Customizing visualizations for better insights
  • Hands-on lab: Visualizing data insights

Day 3
Session 1: Advanced Data Manipulation

  • Merging, joining, and aggregating data
  • Working with time-series data
  • Hands-on lab: Advanced data operations with Pandas

Session 2: Mini Data Science Project

  • Analyzing a real-world dataset from start to finish
  • Applying techniques learned throughout the course
  • Group activity: Presenting findings

Session 3: Next Steps in Data Science with Python

  • Overview of machine learning with Python
  • Resources for further learning and practice
  • Group discussion: Building a roadmap for Python proficiency

Bespoke Option

We are open to customizing this program to align with your specific learning objectives. If your team has particular goals or areas they wish to focus on, we would be happy to tailor the course outline to meet those needs and ensure the program supports the achievement of your desired outcomes.

Course Enquiry

Further Learning Opportunities

Data Science Basics for Business Professionals

This course provides an accessible introduction to data science concepts for business professionals.

View course Outline

Introduction to Data Science Tools and Techniques

This course provides a comprehensive introduction to the essential tools and techniques used in data science.

View course Outline

Foundations of Data-Driven Decision Making

This course is designed to help professionals understand the principles and methodologies of data-driven decision-making.

View course Outline

Essential Concepts of Data Science for Beginners

This course introduces participants to the foundational concepts of data science in an easy-to-understand manner.

View course Outline

Getting Started with Data Science in Python

Course Name: Getting Started with Data Science in Python

Request More Information