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Data Science A-Z™: Real-Life Data Science Exercises Included

c_logo Udemy
by — Kirill Eremenko

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About Course

This course is extremely hands-on, incredibly practical and unbelievably real!

This is not one of those fluffy classes where everything works out just the way it should and your training is smooth sailing. This course throws you into the deep end.

In this course you WILL experience firsthand all of the PAIN a Data Scientist goes through on a daily basis. Corrupt data, anomalies, irregularities - you name it!

This course will give you a full overview of the Data Science journey. Upon completing this course you will know:

  • How to clean and prepare your data for analysis
  • How to perform basic visualisation of your data
  • How to model your data
  • How to curve-fit your data
  • And finally, how to present your findings and wow the audience

This course will give you so much practical exercises that real world will seem like a piece of cake when you graduate this class. This course has homework exercises that are so thought provoking and challenging that you will want to cry... But you won't give up! You will crush it. In this course you will develop a good understanding of the following tools:

  • SQL
  • SSIS
  • Tableau
  • Gretl

This course has pre-planned pathways. Using these pathways you can navigate the course and combine sections into YOUR OWN journey that will get you the skills that YOU need.

Or you can do the whole course and set yourself up for an incredible career in Data Science.

The choice is yours. Join the class and start learning today!

Course Details

  •    Category:
    It & Softwares
  •    Subject:
    Data Science
  •    Mode:
  •    Price:
  •    Length:
    21 hours
  •    Level:
  •    Language:

Mentor Bio

Professionally, Kirill is a Data Science management consultant with over five years of experience in finance, retail, transport and other industries. He was trained by the best analytics mentors at Deloitte Australia and today he leverages Big Data to drive business strategy, revamp customer experience and revolutionize existing operational processes. From his courses you will straight away notice how he combines his real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. He is also passionate about public speaking, and regularly presents on Big Data at leading Australian universities and industry events. To sum up, he is absolutely and utterly passionate about Data Science and is looking forward to sharing his passion and knowledge with you!

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