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Exploratory Data Analysis: 1st Data Science Project

Self-Paced

Learning Style

Microsoft

Provider

Beginner

Difficulty

14 Days

Course Duration

Course Info

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Course Information

Over the past four weeks you've covered a lot of material! You're well on your way to becoming a data scientist. To recap the content so far, you have received a quick introduction to the data science workflow, including exploration, visualization, statistics, and machine learning Gotten hands-on experience with analyzing data in Excel. Learned about dashboards and reports in Power BI Discovered how to use key storytelling principles to generate high impact with data

This first project is one of five projects you will complete through the bootcamp. These projects both provide you with hands-on experience and can serve as the start of your data science portfolio!

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BrandMicrosoft
Lab AccessNo
Learning StyleSelf-Paced Learning
Learning TypeCourse
DifficultyBeginner
Course Duration14 Days
LanguageEnglish

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Course Expert:

Author

Tom Robertson
(Data Science Enthusiast)

Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.

Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.

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