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  • What is Data Science
  • Artificial Intelligence vs Machine Learning vs Deep Learning
  • Data Analysis using Python and R
  • Data Visualization using Python and R
  • Data Loading using Python and R

This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.
 
We will walk you step-by-step into the World of Data Science. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
 
Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.
 
And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects.

  • Learning Desire
  • Beginner Python & R developers curious about Data Science
  • Student who want to build career in Data Science
  • All graduates, Data Analysts and Business Analysts
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  • Section 1 : Introduction. 1 Lectures 00:32:26

    • Lecture 1 :
  • Section 2 : MACHINE LEARNING Introduction- DATAhill Solutions. 1 Lectures 00:26:33

    • Lecture 1 :
    • MACHINE LEARNING Introduction- DATAhill Solutions.
  • Section 3 : Python Programming - DATAhill Solutions. 1 Lectures 00:37:07

    • Lecture 1 :
    • Python Programming - DATAhill Solutions.
  • Section 4 : Numpy with Python - DATAhill Solutions. 1 Lectures 00:34:41

    • Lecture 1 :
    • Numpy with Python - DATAhill Solutions.
  • Section 5 : Pandas with Python - DATAhill Solutions. 1 Lectures 00:43:03

    • Lecture 1 :
    • Pandas with Python - DATAhill Solutions.
  • Section 6 : MatPlotLib with Python - DATAhill Solutions. 1 Lectures 00:32:30

    • Lecture 1 :
    • MatPlotLib with Python - DATAhill Solutions.
  • Section 7 : Seaborn with Python - DATAhill Solutions. 1 Lectures 00:31:45

    • Lecture 1 :
    • Seaborn with Python - DATAhill Solutions.
  • Section 8 : Python Machine Learning - DATAhill Solutions. 1 Lectures 00:26:10

    • Lecture 1 :
    • Python Machine Learning - DATAhill Solutions.
  • Section 9 : Data Visualization using MatPlotLib _ Seaborn - DATAhill solutions. 1 Lectures 00:32:45

    • Lecture 1 :
    • Data Visualization using MatPlotLib _ Seaborn - DATAhill solutions.
  • Section 10 : Data Visualization using R Programming - DATAhill Solutions. 1 Lectures 01:00:54

    • Lecture 1 :
    • Data Visualization using R Programming - DATAhill Solutions.
  • Section 11 : Data Visualization using Python and R - DATAhill Solutions. 1 Lectures 00:32:48

    • Lecture 1 :
    • Data Visualization using Python and R - DATAhill Solutions.
  • Section 12 : Data Analysis using NumPy and Pandas - DATAhill Solutions. 1 Lectures 00:35:18

    • Lecture 1 :
    • Data Analysis using NumPy and Pandas - DATAhill Solutions.
  • Section 13 : Data Analysis - How to Extract the Data - DATAhill Solution. 1 Lectures 00:43:40

    • Lecture 1 :
    • Data Analysis - How to Extract the Data - DATAhill Solution.
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  • How do i access the course after purchase?

    It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time.
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    Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic.
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    Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.
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    Yes, you can cancel your subscription at any time. Your subscription will auto-renew until you cancel, but why would you want to?
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399854 Course Views

7 Courses

Having 10+ Years of Experience in Software Industry which includes Development, Support & Training. My Experience Includes Managing, Processing, Predicting and Analyzing of Large volume of Business Data. Expertise in Data Management, BI Technologies & Data Science with Data Analytics, Machine Learning, Deep Learning & Artificial Intelligence using R Programming, Python Programming, WEKA and EXCEL. Having publications and patents in various fields such as machine learning, data security, and data science technologies. I received my Masters of Technology in Computer Science & Engineering from JNTU. Professionally, I am a Data Science management consultant with over 8 years of experience in finance, retail, transport and other industries.
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