Master data analysis with NumPy and Pandas by cleaning, transforming, merging and visualizing real-world datasets.

What you'll learn
- Master the essentials of NumPy and Pandas, two of Python's most powerful data analysis packages
- Analyze and manipulate dates and times for time intelligence and time-series analysis
- Learn how to explore, transform, aggregate and join NumPy arrays and Pandas DataFrames
- Visualize raw data using plot methods and common chart options like line charts, bar charts, scatter plots and histograms
- Build powerful, practical skills for modern analytics and business intelligence

Requirements
- Basic Python Needed.

Description
This course is a complete, practical guide to mastering data analysis usingNumPy and Pandas, the two most widely used Python libraries in analytics, data science, finance, and machine learning. Designed for beginners and professionals alike, this course takes you from the foundations of data manipulation to advanced analytical techniques used in real-world projects.

You'll begin by building a solid understanding ofNumPy arrays and vectorized operations—the performance engine behind Pandas. Then, you'll move step by step into Pandas, learning how to create, explore, filter, clean, and transform DataFrames like a true data professional. You'll unlock methods tohandle messy datasets,group and aggregate data for insights, andmerge multiple data sources just like SQL joins.

The course also includes a dedicated module ontime series analysis, equipping you with practical skills for analyzing stock trends, sales performance over time, and time-based logs. You'll explorerolling windows, resampling, and date handling—essential tools for business analytics. Finally, you'll learn tovisualize data using Pandas and Matplotlib, creating professional charts that communicate insights clearly.

By the end of this course, you'll be able to confidently work with real datasets and build powerful data analysis workflows in Pandas and Numpy like an industry expert.

Who this course is for:
- Analysts or BI professionals looking to learn data analysis with NumPy and Pandas
- Aspiring data scientists who want to build or strengthen their Python skills
- Anyone interested in learning one of the most popular open source programming languages in the world
- Students looking to learn powerful, practical skills with unique, hands-on projects and course demos
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