Data Analysis in Python: Using Numpy for Analysis from Coursera

This Guided Project Data Analysis in Python: Using Numpy for Analysis is for Intermediate Python learners. In this 1-hour long project-based course, you will learn how to: Transform 1 and 2-dimensional data in Python Lists and Dictionaries into Numpy Arrays, leveraging the real world data of the Lakers starting players to calculate their BMIs and their player efficiency rates. To achieve this, we will work through importing all the necessary python libraries and data, transforming 1D and 2D python data structures to Numpy arrays, performing basic arithmetic operations on Numpy arrays, and performing Numpy aggregation. This project is unique because, there are practice tests to use the Golden State Warriors data and in the end, there's a capstone project that leverages real-world data of the top 10 highest-paid NBA players to calculate their BMIs and player efficiencies using the skills learned. In order to be successful in this project, you will need a basic understanding of python syntax for importing python modules, python JSON module, setting variables, and calling methods of python modules.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for experienced developers and data analysts who are familiar with Python basics and have experience using Numpy

Provides hands-on practice with real-world data and offers a capstone project to test learners' skills

An excellent resource for data analysts, scientists, and developers who seek to enhance their programming capabilities with Python

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 Data Analysis in Python: Using Numpy for Analysis with these activities:

Numpy tutorial

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Helps you to understand the basics of the Numpy library which will be utilised throughout the course.

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Review Numpy documentation
Work through Numpy tutorial
Complete Numpy exercises

Study group

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Provides an opportunity to collaborate with other learners and discuss the course material in more depth.

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Find a study group or create your own
Meet regularly to discuss course material

Numpy for Data Analysis

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Provides guidance on how to practically use Numpy for data analysis which will be useful for working through the course project.

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Watch Numpy for Data Analysis tutorial
Follow along with the tutorial examples

Two other activities

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Numpy exercises

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Provides extra practice in using Numpy for data analysis tasks that are relevant to the course project.

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Find Numpy exercises online
Solve the exercises

Data analysis project

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Allows you to apply the skills learned in the course to a real-world data analysis problem.

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Choose a dataset
Clean and prepare the data
Perform data analysis
Visualize the results

Career center

Learners who complete Data Analysis in Python: Using Numpy for Analysis will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts collect and interpret large amounts of data to identify trends and patterns. They use their findings to make recommendations to businesses on how to improve their operations. The course will help you build a foundation in data analysis using Python and Numpy, which are essential tools for this role.

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Data Scientist

Data Scientists use their knowledge of statistics, programming, and machine learning to solve complex business problems. They often work with large datasets to identify trends and patterns that can be used to improve decision-making. The course will help you develop the skills you need to become a successful Data Scientist.

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Machine Learning Engineer

Machine Learning Engineers design and build machine learning models to solve complex problems. They use their knowledge of programming, statistics, and machine learning to develop models that can learn from data and make predictions. The course will help you develop the skills you need to become a successful Machine Learning Engineer.

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Business Analyst

Business Analysts use their knowledge of business and data analysis to identify opportunities for improvement. They work with stakeholders to gather requirements, analyze data, and make recommendations on how to improve business processes. The course will help you develop the skills you need to become a successful Business Analyst.

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Financial Analyst

Financial Analysts use their knowledge of finance and data analysis to evaluate investments and make recommendations to clients. They work with data to identify trends and patterns that can be used to make investment decisions. The course will help you develop the skills you need to become a successful Financial Analyst.

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Operations Research Analyst

Operations Research Analysts use their knowledge of mathematics and data analysis to solve complex business problems. They work with data to identify inefficiencies and develop solutions to improve business processes. The course will help you develop the skills you need to become a successful Operations Research Analyst.

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Actuary

Actuaries use their knowledge of mathematics and statistics to assess risk and uncertainty. They work with data to develop models that can be used to make decisions about insurance policies, investments, and other financial products. The course will help you develop the skills you need to become a successful Actuary.

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Statistician

Statisticians use their knowledge of statistics and data analysis to collect, analyze, and interpret data. They work with data to identify trends and patterns that can be used to make decisions. The course will help you develop the skills you need to become a successful Statistician.

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Data Engineer

Data Engineers design and build the systems that store and process data. They work with data to ensure that it is accurate, consistent, and accessible. The course will help you develop the skills you need to become a successful Data Engineer.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They work with data to create software that can solve complex problems. The course will help you develop the skills you need to become a successful Software Engineer.

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Quantitative Analyst

Quantitative Analysts use their knowledge of mathematics and statistics to analyze financial data. They work with data to develop models that can be used to make investment decisions. The course will help you develop the skills you need to become a successful Quantitative Analyst.

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Risk Analyst

Risk Analysts use their knowledge of mathematics and statistics to assess risk and uncertainty. They work with data to develop models that can be used to make decisions about insurance policies, investments, and other financial products. The course will help you develop the skills you need to become a successful Risk Analyst.

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Data Journalist

Data Journalists use their knowledge of data analysis and journalism to tell stories with data. They work with data to identify trends and patterns that can be used to create compelling stories. The course will help you develop the skills you need to become a successful Data Journalist.

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Market Researcher

Market Researchers use their knowledge of data analysis and marketing to understand consumer behavior. They work with data to identify trends and patterns that can be used to develop new products and services. The course will help you develop the skills you need to become a successful Market Researcher.

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Business Intelligence Analyst

Business Intelligence Analysts use their knowledge of data analysis and business to identify opportunities for improvement. They work with data to develop reports and dashboards that can be used to make decisions. The course will help you develop the skills you need to become a successful Business Intelligence Analyst.

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