Top 6 Data Science Programs for Beginners


Udacity has the best industry-leading programs in data science. Here are the top six data science courses for beginners to help you get started.

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With so much of the world focused on big data, there’s never been a better time to jump into data science. Udacity has the best industry-leading programs in data science. We’ve outlined our top six data science courses for beginners to help you get started.

 

1. Learn SQL

Attention product managers, developers, business analysts, and database administrators! We have the perfect course for you.

In just two months, students enrolled in the Learn SQL Nanodegree program will learn how to create and execute SQL and NoSQL queries in large databases and analyze the results to inform strategic business decisions.

Many say that understanding SQL is a must-have skill for anyone working with data. If that describes you, enroll in the Learn SQL Nanodegree program!

 

2. Programming for Data Science with Python

Are you a business analyst or developer interested in learning more about data science? Check out the Programming for Data Science with Python Nanodegree program to kickstart your data science career by learning fundamental programming tools for data, including Python, SQL, command line, and git.

In only three months, you will take three courses with projects focused on answering complex business problems using SQL, learning the basics of the Python programming language and getting to know top libraries for data analysis, and understanding how to manage and share versions of your work with version control.

Graduates from the Programming for Data Science with Python Nanodegree program will be ready to start a career in data science or business analytics. Enroll today to get started.

 

3. Programming for Data Science with R

The Programming for Data Science with R Nanodegree program is just like the Programming for Data Science with Python course, except the focus is on learning how to program and visualize data with R instead of Python. Just like the other course, this one also covers SQL and version control (git).

The biggest difference between R and Python is that R is more specifically used for statistical analysis, while Python is a more generalized programming language. Both are foundational skills for a budding data scientist.

Students who take the Programming for Data Science with R Nanodegree program are suited to work as statisticians, software developers, or data scientists. Why wait to start your new career? Enroll today.

 

4. Data Visualization

Do you have some basic experience with data analysis but want to take it a step further? The Data Visualization Nanodegree program can help you take your career to the next level.

Students in the Data Visualization program learn how to build visualization and dashboards, with narratives crafted around the data, to help communicate clearly to audiences. Using Tableau, enrollees learn how to understand user needs, identify key metrics, tailor dashboards, and thoroughly understand datasets.

In just four months, data analysts and business leaders will thoroughly understand how to communicate effectively about data. Enroll today to give your data career a boost.

 

5. Data Analyst

If you already have some experience with programming—particularly Python and SQL – but want to improve your understanding of data analysis, check out the Data Analyst Nanodegree program.

The Data Analyst Nanodegree program is one of the more technically intensive programs, with courses covering inferential statistics and probability, data wrangling (with Python) for gathering and preparing data programmatically, and data visualization for analysis.

In four months, the Data Analyst Nanodegree program will prepare you to be a confidently tech-forward data analyst. Enroll today to make moves in your data analytics career.

 

6. Data Engineer

Are you an engineer with an interest in data? If so, check out Udacity’s Data Engineer Nanodegree program. It’s the best way to take your engineering career to the next level.

Students in the Data Engineer Nanodegree program will learn about designing data models, building data warehouses, automating data pipelines, and the foundations of working with big data. By the end of the course, graduates will understand how to create production-ready data infrastructure at scale.

In five months, you’ll not only understand data modeling, cloud data warehouses, data lakes, and pipelines (plus their associated software tools), you’ll have completed a real-world capstone project to add to your portfolio. Enroll today to get started.

 

Getting Started in Data Science

Ready to jumpstart your new career in data science? There’s never been a better time. According to the LinkedIn U.S. Emerging Jobs Report, data science is one of the top fields that is continuously growing at an epic rate.

Enroll today in one of our top six data science programs for beginners. You’re just one click away from a whole new career.



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