Product Image

Exploratory Data Analysis: 1st Data Science Project


Learning Style





14 Days

Course Duration

Course Info

Download PDF


See Sample

Buy Individually Timezone
About Individual Course:
  • Individual course plan gives you access to this course
/ Each
162 Learners Have Enrolled For This Course

You have already taken demo for this course.

If you want to get access to demo again, feel free to contact our support at (855) 800-8240

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!


More Information

More Information
Lab AccessNo
Learning StyleSelf-Paced Learning
Learning TypeCourse
Course Duration14 Days


Write Your Own Review
Only registered users can write reviews. Please Sign in or create an account

Course Expert:


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.

click here