Analyze data with Python by Codecademy

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Analyze data with Python

What is Data Analysis?

Data analysis involves manipulating, transforming, and visualizing data to infer meaningful insights from the results. Individuals, businesses, and even governments often take direction based on these insights. Data could be analyzed with python or R. Here comes the role of a Data analyst. Data analysts analyze data with python, where they might predict customer behavior, stock prices, or insurance claims by using basic linear regression.

They might create homogeneous clusters using classification and regression trees (CART), or they might gain some impact insight by using graphs to visualize a financial technology company’s portfolio.

About Python Programming language?

Python is an open-source programming language that is high level and works as a general-purpose language. What sets Python apart from other programming languages is that it is simple to use, can be taught to a beginner, it can be embedded into any application. It can run on all current operating systems, including Mac, Windows, and Linux. It is also one of the most powerful languages a programmer can use and is about three and five times faster to code than JavaScript and C++, respectively.

“Python is the most powerful language you can still read”.

– Paul Dubois

About Analyze data with Python course

Data is everywhere. That means more companies are tracking, analyzing, and using the insights they find to make better decisions. In Analyze data with Python by Codecademy, you will learn the fundamentals of data analysis while building Python skills.

What will you learn from this course?

• Introduction to Data Analysis

You will be prepared to learn Data Analysis in the Analyze data with Python course by understanding how and why it is used.

• Introduction to Python

You will learn the fundamentals of Python, one of the most popular programming languages for Data Analysis.

• NumPy: A Python Library for Statistics

You will learn about NumPy and a Python library used to store arrays of numbers, organize large amounts of data, and perform statistical calculations.

• Analyze data with Python: Data Manipulation with Pandas

You will learn the basics of Pandas, an industry-standard Python library that provides tools for data manipulation and analysis.

• Analyze data with Python: Data Visualization with Matplotlib

Insights mean nothing if you can’t present them and convince others that the findings are important. But how do we present data in Python?

• Analyze data with Python: Statistics for Data Analysis

You will learn how to calculate and interpret several descriptive statistics using the Python library NumPy.

• Analyze data with Python: Hypothesis Testing with SciPy

You will learn SciPy, a Python module for comparative statistics, to perform many different statistical tests in code.

• Final Projects

You can put your new analysis skills to work with a series of case studies and capstone projects.

What will you be able to do?

Here are just a few things or skills that you will be able to do after the Analyze data with Python course:

• You will learn to VISUALIZE DATA and use your Python skills to better present the data by visualizing it with graphs, charts, and more.
• Here you will INTERPRET LARGE DATASETS- Statistics can be tricky, but you will have no problem analyzing data to make more informed decisions.
• TEST YOUR HYPOTHESIS- Check your gut instincts by designing and running A/B tests to evaluate the data further.

Who is this course for?

This course is for those who want to gain Python skills, learn data analytics, and move beyond Excel.

About Codecademy Pro

To get Career Paths, sign up for Codecademy Pro. With Codecademy Pro

You will have unlimited access to everything you need to take your learning to the next level.

• Get a step-by-step ROADMAP and skill Paths, and career paths guide you through where to start and what to learn next to reach your goal.
• Create REAL-WORLD PROJECTS.
• GET SUPPORT FROM THE COMMUNITY. Rally together with other Pro members to collaborate, share resources, stay accountable, and more.

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