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A Beginners Introduction to Data Science

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Saket Chaturvedi

29:32

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  • 1 - Introduction.html
  • 2 - Course Introduction.mp4
    00:56
  • 3 - Overview.mp4
    00:43
  • 4 - What is Data Science.mp4
    01:46
  • 5 - Importance of Data Science.mp4
    02:03
  • 6 - What do Data scientists do.mp4
    02:22
  • 7 - Common Data science tools.mp4
    02:39
  • 8 - Overview.mp4
    00:40
  • 9 - Structured Data.mp4
    01:31
  • 10 - Unstructured Data.mp4
    01:19
  • 11 - Time Series Data.mp4
    01:16
  • 12 - Overview.mp4
    02:28
  • 13 - Problem Definition.mp4
    01:15
  • 14 - Data Collection and Preparation.mp4
    01:44
  • 15 - Data Exploration and Visualization.mp4
    01:33
  • 16 - Modeling.mp4
    02:00
  • 17 - Maintenance and Monitoring.mp4
    01:41
  • 18 - AutoML Automated Machine Learning.mp4
    02:27
  • 19 - Summary and next steps.mp4
    01:09
  • Description


    Understand Data science basics and learn the data science workflow without any complicated language.

    What You'll Learn?


    • Data science field overview
    • Importance of data science
    • Common data science tools
    • Types of data
    • Data science workflow

    Who is this for?


  • Beginners curious about data science
  • Data analysts who want to move into data science and need a basic overview of the field
  • More details


    Description

    With the increase in data generation, Data scientists are the most in-demand professionals in the industry. However, the supply is not matching the demand.

    This opens new arenas for professionals to move into the industry through training and development. However, the journey is not easy.

    Most of the online courses, right from the start focus on Statistics, Probability, and other concepts and it becomes difficult for someone to start with the basic concepts and understand why data science is important and what exactly it is.


    This course will get you started with

    1. What is Data science?

    2. Why is it important?

    3. What do Data scientists do?

    4. What are the common tools used in the industry?

    5. What is a Data science workflow?


    This course will be a stepping stone, and after taking this course you will be better equipped to take the next step in your journey to become a DATA SCIENTIST!


    WHO IS THIS COURSE FOR?

    Anyone who is curious about the field of Data science and wants to learn more.


    Features of this course are

    Clear and simple explanation, suitable for everyone

    Examples

    Recommendation on the next steps after this course


    Why wait? Click "Buy Now" and start your journey!

    Who this course is for:

    • Beginners curious about data science
    • Data analysts who want to move into data science and need a basic overview of the field

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    Saket Chaturvedi
    Saket Chaturvedi
    Instructor's Courses
    I am a data analytics professional with more than 10 years of experience in the field of data science and analytics. I have expertise in developing predictive solutions using regression and classification models for forecasting, customer churns analysis, and lead scoring with tools such as Einstein Discovery, DataRobot, and Python.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 18
    • duration 29:32
    • Release Date 2023/02/25

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