Data analytics, a course with the sauce
DATA ANALYTICAL COURSES
Most of us might be wondering what data analytics might be all about. A lot think that it is one boring cumbersome course that is not easy to understand. But let me burst your bubble. Data analytics is one of the most sought-after professions in the world and if you are good at it, you stand a chance of working in big industries with attractive salaries due to the limited numbers of people in that field.
Before we move further, what is data analytics? Data analytics is the collection, transformation, and organization of data to conclude, and make predictions and decisions.
I know a lot of people take data analysis and data analytics to be the same thing but let me shock you by saying that they are two different things, data analysis is a subcategory of data analytics. While data analysis deal specifically with extracting meaning from data, data analytics as a whole goes beyond analysis to as far as data science and data engineering.
To further interest you, data analytics is further divided into
types which are listed below:
DATA ANALYTICAL COURSES
Here are some of the data analytical courses you can offer and become a professional in analytics:
Data getting and cleaning (coursera)
Before even working with data you have to get it first right. Surprised it's a course? Data getting does not only involve getting data just from anywhere or anyhow, this course will enlighten you on the basic ways through which data could be obtained. It will cover getting data from the web, and colleagues in different formats, and databases. It will also take you on how to arrange and "clean" them to make them presentable. The duration of this course can be 4 weeks long requiring about 10 hours per week worth of materials.
This is a branch of data analytics that helps you extract meanings out of raw facts. This course here will provide you with a unique set of skills, you will learn how to use python, r programming language, SQ, L, and statistics to uncover insights into data. Being a professional in this course, I bet you will be a hot cake and a great asset to organizations eager to make data-powered businesses. Its duration is about 17 weeks long.
Data science (coursera)
Data science is a discipline that uses statistical computing tools to extract knowledge from unprocessed raw facts. This course will help you learn how to use data to improve outcomes and achieve ambitious goals. Its duration is about 12 - 36 months depending on your interest.
This course here will teach you how to make insights out of raw data and use them to make possible predictions. Through inspiring examples from learning this course, you will discover the power of data and use analytics to provide an edge to your life and career. The duration can be 13 weeks long consuming from 10 - 15 hours per day.
Wow! Data analytics also involves people analytics, isn't that interesting? This course here teaches you the approach of managing people at work using their data. This particular skill helps business leaders make assumptions and decisions concerning their employees through deep data analysis rather than the traditional method of personal relationship
Digital marketing analytics (coursera)
This course will give you a foundation in marketing analytics. You can see that there is no field where data analytics is not involved, be it in the digital or marketing world. This course here mainly focuses on the practical use of data analytics in marketing. It takes about four weeks.
This is a course that will land you a job in the world of analytics in less than six months. Here you will learn in-demand skills used for analytics using different programming languages. The duration is 5 - 8 months based on your capability.
Data analysis with R programming (coursera)
R programming is a programming language that offers a wide variety of statistical libraries and provides a favorable environment for statistical computing and design. It is a course in data analytics that is used by most quantitative analysts as a programming tool as it is useful for data importing and cleaning. The duration may take some months for you to be a professional in it.
Data analysis with excel (edx)
This course will teach you how to leverage the features of excel for analyzing information. Taking this mouth-watering course, you will be able to efficiently master the skill of creating reports, summarising your findings, creating pivot tables, and most importantly, producing relevant insights which is the goal. This course can last for about three to five weeks using 2 - 4 hours per week.
Pandas and python (udemy)
This is yet another interesting course in data analytics. I know most of us have been hearing of python and as we mostly know, it is one of the best and most popular programming languages in the world. It will interest you to know that it is a course in data analytics. Yeah, you can see how broad data analytics is. While python is a programming language, pandas are its library. Let me make it clear pandas is a software library written for the python programming language and they both walk hand in hand in analyzing, interpreting, filtering, and manipulating data. The duration can be from 2 - 3 hours.
There are other data analytics courses you can learn through platforms/institutions like:
Michigan university
University of Pennsylvania
Duke University
KDnuggets
Alison
UniAthena
Datacamp
and a list of others.
Grab a skill in data analytics today and become one of the elites in analytics.
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