Analytics in Python from edX

Data is the lifeblood of an organization. Competency in programming is an essential skill for successfully extracting information and knowledge from data.

The goal of this course is to introduce learners to the basics of programming in Python and to give a working knowledge of how to use programs to deal with data.

In this course, we will first cover the basics of programming and then focus on using Python on the entire data management process from data acquisition to analysis of data big data and small data.

This is an intensive hands-on course that will equip and reward learners with proficiency in data management skills.

What you'll learn

Become familiar with working with relational databases, using SQL based languages such as MySql, dealing with formatted data (XML, JSON, etc.)
Use Python to work with and analyze data from databases as well as from the web

What's inside

Learning objectives

Become familiar with working with relational databases, using sql based languages such as mysql, dealing with formatted data (xml, json, etc.)

Use python to work with and analyze data from databases as well as from the web

Become familiar with working with relational databases, using sql based languages such as mysql, dealing with formatted data (xml, json, etc.)
Use python to work with and analyze data from databases as well as from the web

Syllabus

Week 1: Python review

Week 2: Python review

Week 3: Data interchange formats: JSON and XML

Week 4: Web scraping and web crawling

Week 5: Database basics: Relational databases

Week 6: SQL

Week 7: Data analysis and visualization I

Week 8: Data analysis and visualization II

Week 9: Text mining

Week 10: Analysis of networks

Week 11: Machine learning: Part 1

Week 12: Machine learning: Part 2

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops proficiency in data management skills, highly sought-after in industry

Provides a solid foundation for learners seeking to build a career in data management

Covers a comprehensive range of topics in data management, providing a holistic understanding

Taught by experienced instructors with a strong reputation in the field

Examines data management techniques highly relevant to industry

Offers practical, hands-on labs and interactive materials to enhance learning

Reviews summary

Python analytics course

According to students, this course on analytics in Python is a great course for learners who have some familiarity with Python. It covers a wide range of topics, including network analysis and Pandas. However, some learners found that the lectures were too fast and that the course tries to cover too many topics.

Assignments are medium difficulty.

"It's a great course and the assignments are of medium level difficulty."

Lectures are too fast.

"The Lecturer is just way to fast and doesn't go on depth."

Exercises need to be refreshed.

"Besides the exercises/assignments need a refresh, as for some of them they don't work anymore with the unavailability of the apps API they are based on (googlemaps API, yelp API)."

Covers many topics.

"This course is not well constructed."

"It tries to cover too many topics, without doing it properly most of the time: topics are not well or very superficially explained."

Career center

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

Data Analyst

Data Analysts use their knowledge of data analysis tools and techniques to uncover insights from data. Their insights help companies make better decisions about everything from product development to marketing campaigns. This course would be very helpful to a Data Analyst as it would provide them with a solid foundation in Python, which is a popular language for data analysis.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. They work with data scientists to identify the appropriate machine learning algorithms for a given problem and then develop and implement the models. This course may be helpful to this role by providing a foundation in Python and machine learning techniques.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists are responsible for developing and applying statistical and machine learning models to data in order to extract insights that can be used to improve business outcomes. This course may be useful to this role by providing a foundation in Python and data analysis techniques.

See salaries and explore the career path for Data Scientist

Statistician

Statisticians use their knowledge of statistics to collect, analyze, and interpret data. They work in a variety of industries, including healthcare, finance, and education. This course may be useful to this role by providing a foundation in Python and data analysis techniques.

See salaries and explore the career path for Statistician

Data Engineer

Data Engineers are responsible for designing, building, and maintaining the infrastructure that stores and processes data. They work with a variety of data sources and technologies to ensure that data is available and accessible to users. This course may be useful to this role by providing a foundation in Python and data management techniques.

See salaries and explore the career path for Data Engineer

Data Visualization Analyst

Data Visualization Analysts use their knowledge of data analysis and visualization techniques to help organizations communicate data insights to stakeholders. They work with a variety of data sources and technologies to create visualizations that are both informative and visually appealing. This course may be useful to this role by providing a foundation in data analysis techniques and data visualization.

See salaries and explore the career path for Data Visualization Analyst

Business Analyst

Business Analysts use their knowledge of business and data analysis to help organizations make better decisions. They work with stakeholders to identify and solve business problems. This course may be useful to this role by providing a foundation in data analysis techniques.

See salaries and explore the career path for Business Analyst

Database Administrator

Database Administrators work with various stakeholders to ensure that a company or organization's databases operate at peak efficiency and performance. They may also design and implement new databases or modify existing ones to meet changing business needs. This course may be useful to this role by providing a foundation in working with databases.

See salaries and explore the career path for Database Administrator

Web Developer

Web Developers design, develop, and maintain websites and web applications. They work with a variety of programming languages and technologies to create websites that are both functional and visually appealing. This course may be useful to this role by providing a foundation in Python, which is a popular programming language for web development.

See salaries and explore the career path for Web Developer

Financial Analyst

Financial Analysts use their knowledge of finance and data analysis to help organizations make investment decisions. They work with a variety of data sources and technologies to analyze financial data. This course may be useful to this role by providing a foundation in data analysis techniques and finance.

See salaries and explore the career path for Financial Analyst

Marketing Analyst

Marketing Analysts use their knowledge of data analysis to help organizations understand and reach their target markets. They work with a variety of data sources and technologies to measure the effectiveness of marketing campaigns. This course may be useful to this role by providing a foundation in data analysis techniques and marketing.

See salaries and explore the career path for Marketing Analyst

Product Manager

Product Managers are responsible for the development and launch of new products. They work with a variety of stakeholders to define the product vision and roadmap. This course may be useful to this role by providing a foundation in data analysis techniques and user experience design.

See salaries and explore the career path for Product Manager

Operations Research Analyst

Operations Research Analysts use their knowledge of mathematics and data analysis to help organizations improve their operations. They work with a variety of data sources and technologies to develop and implement solutions to operational problems. This course may be useful to this role by providing a foundation in data analysis techniques and operations research.

See salaries and explore the career path for Operations Research Analyst

User Experience Designer

User Experience Designers work with a variety of stakeholders to design and develop user-friendly products and services. They use their knowledge of human factors and data analysis to create products that are both useful and enjoyable to use. This course may be useful to this role by providing a foundation in data analysis techniques and user experience design.

See salaries and explore the career path for User Experience Designer

Software Engineer

Software Engineers design, develop, and maintain software applications. They work with a variety of programming languages and technologies to create software that meets the needs of users. This course may be useful to this role by providing a foundation in Python, which is a popular programming language for software development.

See salaries and explore the career path for Software Engineer

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Analytics in Python

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Python analytics course

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