Instructed by Ryan Ahmed
After completing the course, you will…
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Master advanced Python tools to manage, sort, and visualize data.
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Learn how to use key Python Libraries such as NumPy for scientific computing and Pandas for Data Analysis.
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Master Matplotlib and Seaborn libraries to visualize data, gain valuable insights, and make informed decisions.
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Master strategies on how to manage large datasets, perform featureengineering and data cleaning for machine learning and data science applications.
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Create heatmaps, correlation plots, scatterplots, pie charts, pair plots, Venn diagrams, 3D plots, histograms, word cloud and swarm plots.
Who this course is for:
- Beginner and experienced Python programmers and data scientists wanting to gain a fundamental understanding of data manipulation and analysis tools and their application in the Finance, Banking, healthcare, and technology sectors.
- Data analysts who want to harness the power of Python to visualize key metrics, optimize business processes, maximize revenue, and reduce costs.
- Data analysts wanting to advance their careers, build their data science portfolio, and gain real-world practical experience.
- Tech enthusiasts who are passionate about data and want to gain real-world practical experience.
- Visionary business owners who want to harness the power of data to maximize revenue, reduce costs and optimize their business.
Suggested Courses
- Data Analysis and Visualisations using R
- R Programming : Data Analysis and Visualisations using R
- The Ultimate Pandas Bootcamp: Advanced Python Data Analysis
Deal Score+2
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