Data Analysis in Python. A Pandas Crash Course for Beginners

Ready to unlock the power of data analysis? This course is designed for complete beginners who want to move beyond spreadsheets and learn Python for data science. No prior programming experience is required!

This comprehensive course will guide you step-by-step through the fundamentals of Python and its essential data science tools, empowering you to analyze data, create compelling data visualizations, and gain valuable insights.

Here's what you'll learn:

• Python Setup:
  • Install Python using Anaconda.
  • Set up virtual environments in Anaconda for organized projects.
  • Master Jupyter Notebooks for interactive coding.
• Python Fundamentals:
  • Understand variables and data types.
  • Work with data structures like lists and dictionaries.
  • Utilize functions in Python for code reusability.
  • Import modules into Jupyter Notebooks.
• Key Data Science Modules:
  • Numpy: Manipulate and work with Numpy arrays.
  • Pandas: Master Pandas dataframes for data manipulation and analysis.
  • Matplotlib: Create insightful data visualizations.
• Practical Data Analysis Projects:
  • Data Loading & Exploration: Learn to load and explore real-world datasets.
  • Data Visualization: Plotting case numbers and geographical distribution of COVID-19 data.
  • Financial Analysis: Use Matplotlib to plot share prices.
  • Data Combination & Mapping: Combine datasets with Pandas to visualize the location of the UK's largest energy consumers.
  • SQLite & Plotly Introduction: Explore the basics of SQLite and Plotly for advanced data handling and visualization.
• Problem-Solving & Support: Develop skills to troubleshoot and find solutions for your own data analysis projects.

By the end of this course, you'll have a solid foundation in using Python for data analysis and be equipped to confidently tackle your own data-driven projects. Gain the skills to transform raw data into actionable insights!