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You'll Learn the most popular Python Data Analysis Technologies! readmore By the end of this course: - Understand the data analysis ecosystem in Python. - Learn how to use the pandas data analysis library to analyze data sets - Create how to create basic plots of data using MatPlotLib - Analyze real datasets to better understand techniques for data analysis At the end of this course you will have learned a lot of the tips and tricks that cut down my learning curve as a business analyst and as a Master's Student at UC Berkeley doing data analysis. I designed this course for those that have an intermediate programming ability and are ready to take their data analysis skills to the next level. You'll understand cutting edge techniques used by data analysts, data scientists, and other data researches in Silicon Valley. 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Read more: By the end of this course: - Understand the data analysis ecosystem in Python. - Learn how to use the pandas data analysis library to analyze data sets - Create how to create basic Descriptions of data using MatDescriptionLib - Analyze real datasets to better understand techniques for data analysis At the end of this course you will have learned a lot of the tips and tricks that cut down my learning curve as a business analyst and as a Master's Student at UC Berkeley doing data analysis. I designed this course for those that have an intermediate programming ability and are ready to take their data analysis skills to the next level. You'll understand cutting edge techniques used by data analysts, data scientists, and other data researches in Silicon Valley. Complete with working files and code samples, over 5 hours with 40+ lectures you'll learn all that you need to know to turn around and apply data analysis strategies to the data that you work with. You'll be able to work along side the instructor as we work through different data sets and data analysis approaches using cutting edge data science tools! What are the requirements? Students need to have Python installed on their computer. Students should be familiar with basic data analysis concepts. Students should have experience writing, at a minimum, basic programs in python. What am I going to get from this course? Over 34 lectures and 5 hours of content! Perform data analysis with python using the pandas library. Understand some of the basic concepts of data analysis. Have used n-dimensional arrays in NumPy as well as the pandas Series and DataFrames to analyze data. Learned the basics of Descriptionting with matDescriptionlib What is the target audience? This course is best suited for people that need a deeper understanding of data analysis tools available today. This course is not suited for those that want to learn how to program and have no prior programming experience. 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