DataCamp Data Scientist with Python

(3 customer reviews)

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Good course for total beginners in the field with zero experience in coding.

Specification: DataCamp Data Scientist with Python

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Pace

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Prerequisite

Free Trial (in days)

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Duration (in months)

What will you learn?

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Suggested hours/week

Programming Language Used

Modules

1. Introduction to Python
2. Intermediate Python
3. Data Manipulation with Pandas
4. Merging Databases with Pandas
5. Introduction to data visualisation with Matplotlib
6. Introduction to data visualisation with Seaborn
7. Python Data Science Toolbox – scoping & error handling, iterators & list comprehensions.
8. Intermediate data visualisation with Seaborn
9. Introduction to importing data with python
10. Intermediate importing data with python
11. Cleaning data in python
12. Working with dates & time in python
13. Exploratory data analysis in python
14. Analysing police activity with python
15. Statistical thinking in python
16. Supervised learning with scikit-learn
17. Unsupervised learning in python
18. Machine learning with Tree-Based model in python
19. Casestudy – School budgeting with machine learning in python
20. Cluster analysis in python

Upon completion

University credits

Graded quizzes & assignments

Capstone Project

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3 reviews for DataCamp Data Scientist with Python

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  1. Hendrik Kalb

    “Data Scientist with Python Track” from DataCamp accomplished!
    22 courses (~84 hours) + projects provide a nice and strong foundation to build on.

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  2. Jacco de Zwart

    Inching towards becoming a Data Scientist
    #datascience #datascientist #python

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  3. Sahil Agrawal

    22 courses, 84 hours, and lots of hard work.

    Learning on #datacamp is always interesting. You learn, you practice, and you implement intriguing projects.

    There’s still a lot to learn, explore, and build.
    This is just a start, much more on the way.

    #datascience #learning #python

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    Expert Score 7.5
    Course Content
    8
    Learning Experience
    7.5
    Course Price
    8.5
    Credibility
    7.5
    Flexibility
    10
    PROS:
    • Nice for the beginners and provides a brief instruction to the Data Science with Python.
    • Learn to code directly in your web browser.
    • Access to the Slack community.
    CONS:
    • Focussed of quantity over quality.
    • Basic concepts of the tool are demonstrated, they are repeated too many times in a sequence before moving to the next concept. The result is that you never get into the depth of things.
    • Exercises are not that great - you will have to complete just a chunk of the overall solution, and the structure of the script will be created for you to just fill in the missing values in function calls.
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