Udemy Data Science with Python and Pandas, Numpy, Matplotlib Udemy
Price: USD 30

    Course details

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    What previous students have said: 

    "This course has taught me many things I wanted to know about pandas. It covers everything since the installation steps, so it is very good for anyone willing to learn about data analysis in python /jupyter environment."

    "learning valuable concepts and feeling great.Thanks for this course."

    "Good explanation, I have laready used two online tutorials on data -science and this one is more step by step, but it is good"

    "i have studied python from other sources as well but here i found it more basic and easy to grab especially for the beginners. I can say its best course till now . it can be improved by including some more examples and real life data but overall i would suggest every beginner to have this course."

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    Data Scientist: The Sexiest Job of the 21st Century - By Harvard Business review

    The average data scientist today earns $130,000 a year  by  glassdoor.

    Want to join me for your journey towards becoming Data Scientist, Machine Learning Engineer.

    This is first introductory course to get started data analysis, Machine learning and advanced AI algorithm implementation

    This course will teach you - All Basic python library required for data analysis process.

    • Python  crash course
    • Numerical Python - Numpy
    • Pandas - data analysis
    • Matplotlib for data visualization
    • Import Data in Python from different sources like .csv, .tsv, .json, .html, web rest Facebook API
    • Data Pre-Processing like normalization, train test split, missing data 
    • Web Scraping with python BeautifulSoup

    This course is for beginner and some experienced programmer who want to make career in Data Science and  Machine learning, AI.

    Prequisite :

    • basic knowledge in python programming
    • High School mathematics

    Enroll in this course and take first step in wonderful world of Data.

    See you in field.

    Sincerely,

    Ankit Mistry


    Updated on 18 February, 2018
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