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- Descriptive analytics: <\/strong>This type of data analytics describes what happened with a specific variable under study.<\/li>\n\n\n\n
- Diagnostic analytics: <\/strong>The effort with diagnostic analytics is to explain why or how a specific data item behaved in a certain way.<\/li>\n\n\n\n
- Predictive analytics<\/a>: <\/strong>As the name suggests, this form of data analysis attempts to forecast how a certain variable is going to vary over time.<\/li>\n\n\n\n
- Prescriptive analytics: <\/strong>This type of data analytics involves prescribing solutions to problems by using graph analysis, simulations, and event processing.<\/li>\n<\/ul>\n\n\n\n
How To Learn Data Analysis: Different Learning Paths<\/h2>\n\n\n\n
Before you dive into learning data analysis, it\u2019s important to know the options that you have. Not everyone learns the same way, and it\u2019s important to choose a modality that caters to your preferences. Let\u2019s get to know the different ways in which you can pick up data analysis skills.<\/p>\n\n\n\n
College Degree<\/h3>\n\n\n\n
When most people think of picking up skills to land a job, they think of a college degree. And that\u2019s a valid way for you to build the educational foundation required for a data analysis career.<\/p>\n\n\n\n
A bachelor\u2019s degree in computer science or information technology will give you the theoretical foundations required for data analysis. Master\u2019s degrees aren\u2019t a requirement at most companies, but if you want to go the extra mile, there are colleges that offer courses in data analytics.<\/p>\n\n\n\n
A college degree is a good option if you\u2019re still early in your career, as a four-year degree will give you a broad understanding of a wide range of concepts in computing. That\u2019s an opportunity to figure out whether data analysis is the niche that you\u2019re most passionate about. A college degree does, however, require a significant monetary and time investment.<\/p>\n\n\n\n
Bootcamp<\/h3>\n\n\n\n
Bootcamps<\/a> are a recent entrant into the world of technical education. And they\u2019ve quickly become a popular choice because they give learners the ability to quickly pick up hands-on experience and become job ready in a matter of months.<\/p>\n\n\n\n
Top Recommendations<\/h4>\n\n\n\n
Here are our recommendations for the best bootcamps:<\/p>\n\n\n\n
Springboard Data Analytics Bootcamp<\/h5>\n\n\n\n
The Springboard Data Analytics Bootcamp<\/a> was developed in collaboration with Microsoft. Over the course of six months, students are taken through a unique learning journey where they pick up key data analysis skills and apply them to projects. The bootcamp covers common industry use cases in areas such as business and finance, giving learners an idea of what implementing their skills in a professional environment will look like.<\/p>\n\n\n\n
CareerFoundry Data Analytics Program <\/h5>\n\n\n\n
This bootcamp from CareerFoundry<\/a> covers various data analysis techniques, as well as data visualization. You will also learn how to use programming languages that are common in this field, such as Python and SQL. Apart from the course instructors, students also get access to mentors who assess their projects and help them with any career-related queries that they might have.<\/p>\n\n\n\n
Brainstation\u2019s Data Analytics Course<\/h5>\n\n\n\n
The Brainstation Data Analytics Course<\/a> is a great choice for anyone who\u2019s learning on a time crunch and wants a gentle introduction to this field. Learners are required to put in just three hours of studying per week over ten weeks. During that time, you\u2019ll learn how to use industry-standard analysis tools<\/a> like Tableau, and skills like data storytelling and visualization.<\/p>\n\n\n\n
Self-Taught Route<\/h3>\n\n\n\n
For those who enjoy flexibility and are naturally motivated, the self-taught route is a good choice. There is a wide variety of resources that you can turn to to learn data analysis on your own<\/a>. Let\u2019s take a look at some of the best ones available to you.<\/p>\n\n\n\n
Online Courses<\/h4>\n\n\n\n
These online courses are perfect for self-learners. <\/p>\n\n\n\n
Springboard\u2019s Free Data Analysis Course: Python, SQL, and R<\/h5>\n\n\n\n
In addition to its Data Analytics Bootcamp, Springboard also offers its Free Data Analytics Course: Python, SQL, and R<\/a>. This course covers all of the basic skills you need to get on your way as a data analyst. Learners will gain a broad understanding of the statistical tools and programming skills used to conduct exploratory and predictive analyses. You will also learn how tools like MapReduce and Hadoop are employed in big data projects<\/a>.<\/p>\n\n\n\n
Data Analysis with Pandas and Python<\/h5>\n\n\n\n
Udemy\u2019s Data Analysis with Pandas and Python<\/a> course, which has been taken by over 180,000 students so far, takes you through some of the more advanced concepts in data analysis using Python. It covers topics like data frames, grouping objects, and operations on text data. Note that you do need to have a basic understanding of Python and Microsoft Excel in order to do this course.<\/p>\n\n\n\n
Google Data Analytics Certificate<\/h5>\n\n\n\n
Google\u2019s Data Analytics Certificate<\/a> is a course offered through Coursera. You can take anywhere from three to six months to complete it, and the course is fully remote. It covers data types and structures, data storytelling<\/a>, and R programming, among other things. The goal is to get learners to a stage where they can land in-demand jobs in fields like data analysis, business intelligence, and operations analysis. <\/p>\n\n\n\n
YouTube Channels and Videos<\/h4>\n\n\n\n
YouTube channels and videos are a great way to learn more about the day in the life of a given profession. And you can also find videos that will help you troubleshoot a problem, or teach you a new skill.<\/p>\n\n\n\n
Top Recommendations<\/h5>\n\n\n\n
The following YouTube channels and videos are good material for those who are self-learning data analysis.<\/p>\n\n\n\n
- Diagnostic analytics: <\/strong>The effort with diagnostic analytics is to explain why or how a specific data item behaved in a certain way.<\/li>\n\n\n\n
![\"YouTube](\"https:\/\/img.youtube.com\/vi\/t6CD1EwU5kc\/sddefault.jpg\")