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Janani Ravi
Python has exploded in popularity in recent years and has emerged as the technology of choice for data analysts and data scientists. In this course, Python for Data Analysts, you will gain the ability to write Python programs and utilize fundamental...
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Python has exploded in popularity in recent years and has emerged as the technology of choice for data analysts and data scientists. In this course, Python for Data Analysts, you will gain the ability to write Python programs and utilize fundamental building blocks of programming and data analysis. First, you will learn how programming languages such as Python, spreadsheets such as Microsoft Excel, and SQL-based technologies such as databases differ from each other, and also how they inter-operate. Next, you will plunge into Python programming, installing Python and getting started with simple programs. You will then understand the ways in which variables are used to hold data, and how simple and complex data types in Python differ in their semantics. Finally, you will round out your knowledge by working with conditional evaluation using if statements, loops and functions. You will learn how Python treats functions as first-class entities, a key enabler of functional programming. When you’re finished with this course, you will have the skills and knowledge to identify situations when Python is the right choice for you, and to implement simple but solid programs using Python.
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Develops knowledge and skills that are in demand in the job market
Provides a solid foundation in Python programming for data analysts
Taught by recognized experts in the field of data analysis
Emphasizes practical skills and applications that are immediately actionable
Prerequisites may be required, which could be a barrier for some learners
The course material is comprehensive and covers a wide range of topics

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Career center

Learners who complete Python for Data Analysts will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts apply their expertise in programming and data analysis to businesses of all kinds. They help analyze massive and complex datasets, study trends and patterns, provide insights, and help with decision making. This course, Python for Data Analysts, provides a foundation in Python programming, which is an important tool for Data Analysts. Whether you seek to enter the field of Data Analytics or advance in your current role, this course is a helpful step.
Data Scientist
Data Scientists build upon the skills of Data Analysts by applying machine learning and other advanced techniques to data. They help businesses understand their data better, make predictions, and optimize decision-making. This course, Python for Data Analysts, can help build a foundation in Python for those seeking to enter this field.
Machine Learning Engineer
Machine Learning Engineers work to build, deploy, and maintain machine learning models. Proficiency in programming and data analysis is crucial for such a role, which this course, Python for Data Analysts, can help build.
Statistician
Statisticians use mathematical and statistical techniques to collect, analyze, and interpret data. They help businesses understand trends, make predictions, and develop strategies. This course, Python for Data Analysts, can help build a foundation in Python for those seeking to enter this field.
Operations Research Analyst
Operations Research Analysts use advanced analytical methods to help businesses improve their efficiency and effectiveness. Proficiency in programming and data analysis is useful for such a role, which this course, Python for Data Analysts, can help build.
Financial Analyst
Financial Analysts use their knowledge of finance and data analysis to help businesses make investment decisions. Proficiency in programming and data analysis is helpful for such a role, which this course, Python for Data Analysts, can help build.
Business Analyst
Business Analysts use their knowledge of business and data analysis to help businesses improve their performance. Proficiency in programming and data analysis is helpful for such a role, which this course, Python for Data Analysts, can help build.
Systems Analyst
Systems Analysts use their knowledge of technology and data analysis to help businesses improve their IT systems. Proficiency in programming and data analysis is helpful for such a role, which this course, Python for Data Analysts, can help build.
Software Engineer
Software Engineers design, develop, and maintain software applications. Proficiency in programming is essential for such a role, which this course, Python for Data Analysts, can help build.
Web Developer
Web Developers design and develop websites and web applications. Proficiency in programming is essential for such a role, which this course, Python for Data Analysts, can help build.
Data Engineer
Data Engineers build and maintain the infrastructure that supports data analysis. Proficiency in programming and data analysis is helpful for such a role, which this course, Python for Data Analysts, can help build.
Database Administrator
Database Administrators manage and maintain databases. Proficiency in data analysis is helpful for such a role, which this course, Python for Data Analysts, can help build.
IT Consultant
IT Consultants provide advice and guidance to businesses on how to use technology to improve their operations. Proficiency in programming and data analysis is helpful for such a role, which this course, Python for Data Analysts, can help build.
Marketing Analyst
Marketing Analysts use their knowledge of marketing and data analysis to help businesses improve their marketing campaigns. Proficiency in data analysis is helpful for such a role, which this course, Python for Data Analysts, may help build.
Salesforce Administrator
Salesforce Administrators manage and maintain Salesforce CRM systems. Proficiency in data analysis is helpful for such a role, which this course, Python for Data Analysts, may help build.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Python for Data Analysts.
Provides an overview of Python and its libraries for data analysis, making it a valuable reference for those new to Python or data analysis.
Provides a practical introduction to data science with Python, covering topics such as data wrangling, visualization, and modeling.
Provides a comprehensive reference for the Python data analysis library, making it a valuable resource for those who want to learn more about the library's features and capabilities.
Provides the official Python tutorial, making it a valuable resource for those who want to learn more about the core features and functionality of Python.
Provides a practical introduction to Python programming, focusing on automating tasks.
Provides a comprehensive reference for the Python standard library, making it a valuable resource for those who want to learn more about the library's features and capabilities.
Provides a collection of recipes for solving common Python programming problems, making it a useful resource for experienced Python programmers.

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