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Data Analyst in Python

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4.6+
31 reviews
Develop your data analytics skills in Python. Gain the data analyst skills to manipulate, analyze, and visualize data. No coding experience required!
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Track Description

Data Analyst in Python

Start your journey to becoming a data analyst using Python - one of the most popular programming languages in the world. No prior coding experience is required; you’ll start from scratch and learn how to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher.  You’ll begin your data analyst training with interactive exercises and get hands-on with some of the most popular Python libraries, including pandas, NumPy, Seaborn, and many more. You’ll learn why Python for data analysis is so popular and work with real-world datasets to grow your data manipulation and exploratory data analysis skills.  As you progress through the courses, you’ll cover topics such as data manipulation and joining data. You’ll also learn key statistics skills, like hypothesis testing.  Get started today, grow your Python skills, and begin your journey to becoming a confident data analyst.

Prerequisites

There are no prerequisites for this track
  • Course

    1

    Introduction to Python

    Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

  • Course

    Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

  • Project

    bonus

    Investigating Netflix Movies

    Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.

  • Course

    12

    Exploratory Data Analysis in Python

    Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

  • Project

    Find out when and where crime is most likely to occur, along with the types of crimes commonly committed in LA.

  • Course

    Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

  • Course

    Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

Data Analyst in Python
9 courses
Track
Complete

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Don’t just take our word for it

*4.6
from 31 reviews
68%
32%
0%
0%
0%
  • muhammad t.
    about 1 month

    Great course

  • Ifelajulo F.
    4 months

    Amazing course taking the learner step by step with amazing practicals

  • Collins O.
    8 months

    I liked the foundational structure it gives a beginner. I would recommend it to anyone starting their data analyst journey

  • Jaime G.
    9 months

    It was a great experience. I learned many important things in this new field. I will do SQL Career in the next weeks. Satisfied with this program.

  • Martyn D.
    9 months

    highly recommend datacamp for beginners. Great classes, explanations of solid concepts. Very few bugs.

"Great course"

muhammad t.

"Amazing course taking the learner step by step with amazing practicals"

Ifelajulo F.

"I liked the foundational structure it gives a beginner. I would recommend it to anyone starting their data analyst journey"

Collins O.

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