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Data Analyst with Python

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Learning Path 🌱

  • 1
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    Introduction to Python Basics for Data Science

    Learn Python, the most widely used programming language for Data Science.
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    26 modules

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    26 Tutorials
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    11 Exercises
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    beginner level
  • 2
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    Introduction to Exploratory Data Analysis

    Learn how to derive insights from data
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    19 modules

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    19 Tutorials
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    2 Exercises
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    beginner level
  • 3
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    Introduction to Numpy

    Learn the basics of Numeric Python package used by all the Data Scientists
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    20 modules

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    20 Tutorials
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    9 Exercises
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    Beginner level
  • 4
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    Introduction to Pandas

    Learn Pandas which is one of the most widely used Data Analysis tool by Data Scientists
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    17 modules

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    17 Tutorials
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    6 Exercises
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    beginner level
  • 5
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    Introduction to Data Visualization with Matplotlib

    Create beautiful visualizations using powerful Python libraries.
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    10 modules

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    10 Tutorials
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    3 Exercises
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    beginner level
  • 6
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    Introduction to Python - Intermediate

    Learn the most widely used programming language for Data Science
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    15 modules

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    15 Tutorials
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    5 Exercises
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    Intermediate level
  • 7
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    Data Visualization with Plotly and Dash

    Learn about visualizing data with interactive data visualization libraries like Plotly and Dash
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    5 modules

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    5 Tutorials
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    0 Exercises
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    intermediate level
  • 8
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    Data Visualization 101 using Tableau

    Learn the Fundamentals of Data Visualization using Tableau
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    18 modules

    100%-online
    18 Tutorials
    100%-online
    3 Exercises
    100%-online
    100% Online
    100%-online
    beginner level

Why you should enroll?

Global Community

Global Community

Interact and learn together through community discussion forums
Real-world Challenges

Real-world Challenges

Practice and enhance your skills on real world data projects
Certificate of Completion

Certificate of Completion

Earn a certificate on course completion. Showcase it to your professional network and potential employers.

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