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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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395989 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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