This Data Analytics with Python course offers a comprehensive journey into mastering programming and data analysis. Start with an introduction to Python, exploring its syntax, versatility, and real-world applications in data science, web development, and automation. Dive into powerful libraries like NumPy for numerical computing, Pandas for data manipulation, and Matplotlib for creating compelling visualizations. Gain hands-on experience solving practical problems and working with real-world datasets to enhance your programming skills. Learn to leverage Python’s capabilities for data-driven tasks and computational efficiency, preparing you for success across diverse industries.
Data Analytics with Python
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Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
4 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
Master Python basics, including syntax and real-world applications
Use NumPy, Pandas, and Matplotlib for data analysis and visualization
Solve practical problems and work with real-world datasets effectively
Build a strong foundation for advanced programming and data-driven tasks
Details to know
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Recently updated!
March 2025
Assessments
2 assignments
Taught in English
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There are 2 modules in this course
This comprehensive Data Analytics with Python course will equip you with the essential skills to program, analyze, and visualize data effectively. You’ll start by mastering Python fundamentals, including syntax and real-world applications in fields like data science, web development, and automation. Explore powerful libraries such as NumPy for numerical computing, Pandas for data manipulation, and Matplotlib for creating stunning visualizations. Gain hands-on experience solving practical problems and working with real-world datasets to enhance your programming capabilities. Perfect for beginners and professionals aiming to unlock Python’s potential for impactful data analysis and decision-making.
What's included
7 videos2 readings1 assignment
Master data visualization with Matplotlib and Pandas, using advanced techniques to analyze and present data.
What's included
8 videos1 assignment
Instructor
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Frequently asked questions
Yes, Python is excellent for data analytics due to its robust libraries like Pandas, NumPy, and Matplotlib, which simplify data manipulation, analysis, and visualization.
The best Python course for data analysts covers Python basics, data manipulation with Pandas, data visualization with Matplotlib/Seaborn, and hands-on projects for practical experience.
The 7 steps are: defining the question, collecting data, cleaning data, exploring data, performing analysis, interpreting results, and presenting findings.
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