Learn to Code in Python and SQL

Online Course

Udacity
Learn to Code in Python and SQL

What is the course about?

Learn to Code in Python and SQL
The course Learn to Code in Python and SQL is an online class provided by Udacity. It may be possible to receive a verified certification or use the course to prepare for a degree.

Prepare for a data science career by learning the fundamental data programming tools: Python, SQL, command line, and git.

Course description
  • Learn to Code in Python and SQL
  • 3 Months (10 hrs/week)
  • Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use Python, SQL, Command Line, and Git.
  • Learn to code with Python, SQL, Command Line, and Git to solve problems with data.
  • There are no prerequisites for this program, aside from basic computer skills.See detailed requirements.
  • Learn SQL fundamentals such as JOINs, Aggregations, and Subqueries. Learn how to use SQL to answer complex business problems.
  • Learn Python programming fundamentals such as data structures, variables, loops, and functions. Learn to work with data using libraries like NumPy and Pandas.
  • Learn how to use version control and share your work with other people in the data science industry.
  • If you are brand new to data, try out Udacity’s Business Analytics Nanodegree program.
  • If you are brand new to data, try out Udacity’s Business Analytics Nanodegree program.
  • of companies plan to increase positions requiring data analysis skills.
  • Introduction to SQL
  • Learn SQL fundamentals such as JOINs, Aggregations, and Subqueries. Learn how to use SQL to answer complex business problems.
  • Investigate a Database
  • Introduction to Python Programming
  • Learn Python programming fundamentals such as data structures, variables, loops, and functions. Learn to work with data using libraries like NumPy and Pandas.
  • Explore US Bikeshare Data
  • Introduction to Version Control
  • Learn how to use version control and share your work with other people in the data science industry.
  • Post your work on Github
  • There are no prerequisites for this program, aside from basic computer skills.
  • The Programming for Data Science with Python Nanodegree program offers you the opportunity to learn the most important programming languages used by data scientists today. Get your start into the fascinating field of data science and learn Python, SQL, terminal, and git with the help of experienced instructors.
  • This is an introductory program that is not designed to prepare you for a specific job. However, as a graduate of this program, you will be proficient in the programming skills used in many data analysis and data science roles, including Python, SQL, Terminal, and Git.
  • If you are interested in taking the first step into the field of Data Science, this course is for you. This course will quickly teach you the foundational data science programming tools (Python, SQL, Git). This course requires no pre-requisite knowledge so you can get started now. Having mastered these in demand tools you will be able to tackle real world data analysis problems.
  • Learning to program Python and SQL, the main programing languages used by data scientists and analysts, is the core of this program. If you decide to take the Programming for Data Science with Python, you’ll also learn specialized data libraries for Python including Pandas and Numpy, and use Git and the Terminal to share your work and learn about version control. By learning these foundational programming skills, you will be ready to advance your career in data.
  • What is the difference between the Python track and the R track?
  • We offer two tracks to this program, one teaching Python and one teaching R. These are both popular among data scientists. You can enroll in one or the other, not both.
  • Both tracks cover the same fundamental concepts, but use a different programming language. The SQL, command line, and Git curriculum is the same in both tracks. This includes the first and third projects, which are the same between the two tracks.
  • The programming course and project are different between the two tracks. One course relies on Python, while the other relies on R. The projects for the two courses rely on the same dataset and skills, but they differ in the approach and final deliverable. Learn more about the Programming for Data Science with R Nanodegree program.
  • What is the School of Data Science, and how do I know which program to choose?
  • Udacity’s School of Data consists of several different Nanodegree programs, each of which offers the opportunity to build data skills, and advance your career. These programs are organized around career roles like Business Analyst, Data Analyst, Data Scientist, and Data Engineer.
  • The School of Data currently offers three clearly-defined career paths in Business Analytics, Data Science, and Data Engineering. Whether you are just getting started in data, are looking to augment your existing skill set with in-demand data skills, or intend to pursue advanced studies and career roles, Udacity’s School of Data has the right path for you! Visit How to Choose the Data Science Program That’s Right for You to learn more.

Prerequisites & Facts

Learn to Code in Python and SQL

Course Topic

Computer Science, Python, SQL

University, College, Institution

Udacity

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Learn to Code in Python and SQL

To obtain a verified certificate from Udacity you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate (399 USD) or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udacity
Learn to Code in Python and SQL
provided by Udacity

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School: Udacity
Topic: Computer Science, Python, SQL