Python Data Analytics from Coursera

This course introduces the use of the Python programming language to manipulate datasets as an alternative to spreadsheets. You will follow the OSEMN framework of data analysis to pull, clean, manipulate, and interpret data all while learning foundational programming principles and basic Python functions. You will be introduced to the Python library, Pandas, and how you can use it to obtain, scrub, explore, and visualize data.

By the end of this course you will be able to:

• Use Python to construct loops and basic data structures

• Sort, query, and structure data in Pandas, the Python library

• Create data visualizations with Python libraries

• Model and interpret data using Python

This course is designed for people who want to learn the basics of using Python to sort and structure data for data analysis.

You don't need marketing or data analysis experience, but should have basic internet navigation skills and be eager to participate. Ideally, you have already completed course 1: Marketing Analytics Foundation, course 2: Introduction to Data Analytics, and course 3: Data Analysis with Spreadsheets and SQL.

What's inside

Syllabus

Introduction to Python

This week you will be introduced to Python and how it can be used in data analytics. You will learn basic programming principles such as variables and variable types using Python. You’ll also delve into basic Python statements such as Booleans and conditional statements.

Obtaining and Scrubbing Data with Pandas

This week is focused on using a Python library called Pandas. You will learn how to use Pandas to load, select, and clean data.

Exploring Data with Python

This week you will further explore and analyze datasets with Python. You will learn how to calculate basic statistics and create data visualizations with Pandas and Matplotlib, another Python library.

Modeling and Interpreting Data with Python

This week you will focus on modeling data with Python and interpreting the model results. You complete a data analytics challenge that applies the knowledge of Python and the application of the OSEMN framework you have gained throughout the course.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Examines data manipulation and analysis, which is highly relevant in industry and academia

Explores Python, which is standard in data analytics

Taught by Victor Geislinger, who is recognized for their work in data analysis

Uses Pandas, Matplotlib, and other Python libraries, which are industry-standard tools

Lays the groundwork for more advanced data analytics courses

Assumes some basic computer navigation skills

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python Data Analytics with these activities:

Review Python programming fundamentals

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Refresh your memory on the foundational concepts of Python to enhance your understanding of the course material.

Browse courses on Python Basics

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Review online documentation or tutorials covering Python basics
Go through your previous notes or assignments related to Python fundamentals
Attempt simple Python exercises or coding challenges to test your understanding

Review data analysis concepts

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Brush up on the key concepts of data analysis to strengthen your foundation for the course.

Browse courses on Data Analysis

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Review lecture notes or textbooks covering data analysis concepts
Go through online tutorials or videos that explain data manipulation and visualization techniques
Work on practice exercises or case studies that involve data analysis tasks

Practice Python programming exercises

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Sharpen your Python programming skills by completing practice drills and exercises from online resources or textbooks.

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Find online Python programming exercises or purchase a textbook with exercises
Set aside regular time for practice
Attempt to solve the exercises on your own
Refer to online forums or textbooks for assistance when needed

Four other activities

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Participate in Python coding study groups

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Deepen your understanding of Python concepts and exchange knowledge with peers in a collaborative learning environment.

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Find or create a study group with other Python learners
Set regular meeting times and stick to the schedule
Take turns presenting topics, working on coding challenges, and providing feedback
Use online tools like video conferencing or shared code editors to facilitate collaboration

Follow Python programming tutorials

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Enhance your Python skills by following step-by-step tutorials that cover specific concepts and techniques.

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Identify areas where you need additional support
Search for reputable online tutorials or video lessons
Follow the instructions and complete the exercises provided in the tutorials
Experiment with the code and try to apply it to your own projects

Participate in Python coding challenges

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Test your Python skills and compete with others in coding challenges to enhance your problem-solving abilities and stay motivated.

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Identify online coding platforms or competitions that host Python challenges
Set aside dedicated time for practicing and participating in the challenges
Attempt to solve the coding problems efficiently and submit your solutions
Review your performance and learn from your mistakes

Build a Python project

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Solidify your Python knowledge by working on a small-scale project that utilizes the skills and concepts covered in the course.

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Identify a problem or need that can be addressed with a Python program
Design and plan the project's architecture
Implement the program and test its functionality
Refine and improve the project based on feedback or user testing

Career center

Learners who complete Python Data Analytics will develop knowledge and skills that may be useful to these careers:

Data Analyst

A Data Analyst gathers, cleans, and interprets data to help businesses make informed decisions. With the skills you'll gain in Python Data Analytics on Meta, you can build a foundation to help you succeed in this role. This course will help you learn how to use Python and Pandas to manipulate datasets, which is a valuable skill for Data Analysts.

See salaries and explore the career path for Data Analyst

Data Scientist

A Data Scientist uses scientific methods to extract knowledge from data. Python Data Analytics on Meta can help you build a foundation for a career as a Data Scientist by teaching you the basics of Python programming and data analysis. This course will provide you with the skills you need to get started in this field.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

A Machine Learning Engineer designs and develops machine learning models. The skills you'll learn in Python Data Analytics on Meta will provide you with a solid foundation for this role. This course will help you understand the basics of Python programming, data analysis, and machine learning.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

A Data Engineer designs and builds data pipelines. Python Data Analytics on Meta can help you build a foundation for this role by teaching you the basics of Python and data analysis. This course will help you understand how to use Python to work with data and build data pipelines.

See salaries and explore the career path for Data Engineer

Business Analyst

A Business Analyst uses data to solve business problems. The skills you'll gain in Python Data Analytics on Meta will give you a strong foundation for this role. This course will help you learn how to use Python and Pandas to manipulate datasets, which is a valuable skill for Business Analysts.

See salaries and explore the career path for Business Analyst

Statistician

A Statistician collects, analyzes, and interprets data. Python Data Analytics on Meta can be a helpful resource for those interested in a career as a Statistician. This course will provide you with the skills you need to get started in this field, including how to use Python to work with data and perform statistical analysis.

See salaries and explore the career path for Statistician

Market Researcher

A Market Researcher gathers and analyzes data about markets and consumers. Python Data Analytics on Meta can be a helpful resource for those interested in a career as a Market Researcher. This course will provide you with the skills you need to get started in this field, including how to use Python to work with data and perform market research.

See salaries and explore the career path for Market Researcher

Financial Analyst

A Financial Analyst uses data to make investment decisions. Python Data Analytics on Meta can be a helpful resource for those interested in a career as a Financial Analyst. This course will provide you with the skills you need to get started in this field, including how to use Python to work with data and perform financial analysis.

See salaries and explore the career path for Financial Analyst

Software Engineer

A Software Engineer designs, develops, and maintains software systems. Python Data Analytics on Meta can be a helpful resource for those interested in a career as a Software Engineer. This course will provide you with the skills you need to get started in this field, including how to use Python to develop software.

See salaries and explore the career path for Software Engineer

Data Visualization Specialist

A Data Visualization Specialist creates visual representations of data. Python Data Analytics on Meta can be a helpful resource for those interested in a career as a Data Visualization Specialist. This course will provide you with the skills you need to get started in this field, including how to use Python to create data visualizations.

See salaries and explore the career path for Data Visualization Specialist

Data Management Specialist

A Data Management Specialist manages and maintains data. Python Data Analytics on Meta can be a helpful resource for those interested in a career as a Data Management Specialist. This course will provide you with the skills you need to get started in this field, including how to use Python to work with data and manage data pipelines.

See salaries and explore the career path for Data Management Specialist

Database Administrator

A Database Administrator manages and maintains databases. Python Data Analytics on Meta can be a helpful resource for those interested in a career as a Database Administrator. This course will provide you with the skills you need to get started in this field, including how to use Python to work with databases.

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Information Security Analyst

An Information Security Analyst protects data from unauthorized access. Python Data Analytics on Meta can be a helpful resource for those interested in a career as an Information Security Analyst. This course will provide you with the skills you need to get started in this field, including how to use Python to work with data and secure data systems.

See salaries and explore the career path for Information Security Analyst

Computer Scientist

A Computer Scientist researches and develops new computing technologies. Python Data Analytics on Meta can be a helpful resource for those interested in a career as a Computer Scientist. This course will provide you with the skills you need to get started in this field, including how to use Python to develop new technologies.

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Web Developer

A Web Developer designs and develops websites. Python Data Analytics on Meta can be a helpful resource for those interested in a career as a Web Developer. This course will provide you with the skills you need to get started in this field, including how to use Python to develop websites.

See salaries and explore the career path for Web Developer