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Data Analysis Real world use-cases- Hands on Python

Free Certification Course Title: Data Analysis Real world use-cases- Hands on Python

Build a Portfolio of 5 Data Analysis Projects with Python, Seaborn, Pandas, Plotly, Folium, TextBlob ,Geopy & Many more

Data Analysis Real world use-cases- Hands on Python`\

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Requirements:

  • You will need to install Anaconda. We will show you how to do it in one of the first lectures of the course

What you’ll learn:

  • Get a job as a data Analyst on an average $156,000 after showcase these Projects on your Resume
  • By the end of this course you will understand the inner workings of the data analytics pipeline – joining,manipulating,filtering, extracting

Who this course is for:

  • Everyone who want to step into Data Science/Data Analytics.
  • Anyone interested about the rapidly expanding world of data Analytics/Data Science
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Why should you take this Course?

  • It explains Projects on  real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Analyst/Data Scientist
  • It shows and explains the full real-world Data. Starting with importing messy datacleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning and Data Presentation.
  • It gives you plenty of opportunities to practice and code on your own. Learning by doing.
  • In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion

This course includes:

  • 7 hours on-demand video
  • 5 articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

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How to Subscribe for Data Analysis Real world use-cases- Hands on Python?

  1. Sign Up on Udemy.com
  2. Subscribe Here(Data Analysis Real world use-cases- Hands on Python): Click Here

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**Note: Free coupon/offer may expire soon.**

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