Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
20 Hour(s) 48 Minute(s)
Language
English
Taught by
Prof. Ryan Ahmed, Ph.D., MBA | 500,000+ Students | Best-Selling Instructor, Ligency , SuperDataScience Team
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4 views
Course Overview
Build your Data Analysis and Visualization skills with Python’s Pandas, Numpy, Matplotlib and Seaborn Libraries
The data revolution is here! Data is the new gold of the 21st Century.
Companies nowadays have access to a massive amount of data and their competitive advantage lies in their ability to gain valuable insights from this data. Not only do they need to analyze all the data, but they need to do it fast!
Data can empower companies to boost their revenues, improve processes and reduce costs.
Data could be leveraged in many industries such as Finance, banking, healthcare, transportation, and technology sectors.
The purpose of this course is to provide you with knowledge of key aspects of data analytics in a practical, easy, and fun way. The courseprovides students with practical hands-on experience using real-world datasets.
We will learn how to analyze data using Pandas Series and DataFrames, how to perform merging, concatenation and joining. We will also learn how to perform data visualization using Matplotlib and Seaborn. Furthermore, we will learn how to deal with datetime and text dataset.
So, whether you're just getting started with Python and Data Analysis, or you're well-established in your career and would like to polish your data visualization skills, this course will boost your skillset.
So, are you ready to get your data visualizations up and running? Enroll now!
Course Content
- 11 section(s)
- 176 lecture(s)
- Section 1 Course Introduction, Success Tips and Key Learning Outcomes
- Section 2 Pandas Series Fundamentals
- Section 3 Pandas DataFrame Fundamentals
- Section 4 DataFrames Concatenation, Merging and Joining
- Section 5 Pandas Multi-indexing and Groupby
- Section 6 Data Visualization with Pandas and Matplotlib
- Section 7 Data Visualization With Pandas and Seaborn
- Section 8 Pandas and Date/Time
- Section 9 Pandas and Text Data
- Section 10 Appendix: Crash Course on Python Programming Fundamentals
- Section 11 Thank You and Links to Other Courses
What You’ll Learn
- Master advanced Python tools to manage, sort, and visualize data.
- Learn how to use key Python Libraries such as NumPy for scientific computing and Pandas for Data Analysis.
- Master Matplotlib and Seaborn libraries to visualize data, gain valuable insights, and make informed decisions.
- Master strategies on how to manage large datasets, perform featureengineering and data cleaning for machine learning and data science applications.
- Create heatmaps, correlation plots, scatterplots, pie charts, pair plots, Venn diagrams, 3D plots, histograms, word cloud and swarm plots.
Reviews
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RRay XXX
He is a great teacher.
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PPhil Smith
Concepts are well explained, making it clear how to effectively apply the knowledge gained.
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MMichael Cyrus
I liked the course very much. The "code along" concept was very well implemented. The notebooks were also very good. Also, very good idea to have minichallenges at very regular intervals. I think, there good be a bit more focus on memorizing and repeating key concepts, so that you really learn them instead of just trying them out once or twice. But overall a great course I would think.
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AArchie Valenzsa
The best course to learn data analysis in Python! If you are new to Python then this one is the best to start.
