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Data Visualization with Python: The Complete Guide

Learn to visualize your data using Python in this data science course
$99   $9
*limited time offer
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4.5 (44 reviews)
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Lectures:
58
Video:
7 hours
Level:
All level
Languages:
English
Last Updated:
04/2018
Includes:
30 day money back guarantee! Lifetime Access. No Limits! Certificate of Completion

The amount of data being generated each day is no longer avoidable. The importance of data is becoming a crucial aspect for predicting the future. This is why Data Science has become an important avenue for learning.

Data Science is the art of creating algorithms to compile, sort, process and analyze the data that is being collected in bulk from across the internet. This data is then used to understand the current and future trends. This field borrows techniques and theories from across multiple fields such as mathematics, statistics, computer science, information science, etc. It also aids other domains such as machine learning, data mining, databases and visualization.

Data is going to become more important as we continue, with more people using data to make crucial decisions. This is why Data Scientists are currently one of the well-paid individuals on the market. This is also the perfect time to get into Data Science.

This is where we can help! We have a built an easy comprehensive course on Data Science to help you master data visualizations using Python. The course will start at the very beginning helping you understand the importance of Data Science, along with becoming familiar with Matplotlib, Python’s very own visualization library. From there you will learn about the linear general statistics and data analysis. That’s not all, we’ll also cover important concepts such as data clustering, hypothesis gradient descent and advanced data visualizations.

At the end of this course, you’ll have a working knowledge of data visualization using Python and you’ll also be able to build your own visualizations from scratch.

What you’ll learn in this course:

  • Introduction to Data Science including concepts such as Linear Algebra, Probability and Statistics
  • Python’s Data Science Library, Matplotlib
  • Charts and Graphs
  • Data Analysis
  • Visualization of non uniform data
  • Hypothesis and Gradient Descent
  • Data Clustering
  • Projects that show you how to build visuals using Python

So, what are you waiting for? Enroll now and get started on your journey to become a Data Scientist!

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