Describe data analytics and explain why business uses it so heavily.

Making better business decisions is the ultimate goal of combining the domains of information technology, statistics, and business strategy with data analytics.

The market for data analytics as a whole is anticipated to be valued over $500 billion by 2026, reflecting the sector’s explosive growth.

Our microcredential course teaches you the skills necessary to work as a data analyst. You will gain skills in data modeling, data analysis, and the ability to use Tableau data visualisations to present your findings.

We’ll discuss the value of data analytics in business and provide an overview of big data and analytics courses that will help you develop the skills you need for the workplace.

Read More:What degree is required to become a data scientist?

What is data analytics? 

A wide definition of data analytics is using and analyzing data to identify patterns, address issues, and highlight important metrics that could otherwise go unnoticed.

Machine learning and algorithms are employed by data analysis techniques to transform large amounts of data into information that has a wide range of applications and strategic value.

The capacity to maximize efficiency through data analysis is useful in a wide range of businesses.

Data analytics are used in the financial sector to reduce risk for financial institutions, provide credit scores, and interpret market movements. Data analysis is constantly used in the medical field to forecast patient outcomes, enhance diagnostic techniques, and support the development of novel drugs.

Data analytics is being used in practically every industry, and there are more and more commercial prospects each year to further utilize data analytics. People with the abilities to give these data-driven insights are in high demand, as one might anticipate.

As to a recent poll conducted by LinkedIn, the third most sought-after hard talent for 2019 was analytical thinking.

Data Analytics for Business with Tableau 

We’ve developed a Coventry University-accredited microcredential in data analytics for business that focuses on utilizing Tableau, a popular data visualisation application, to give you a platform to benefit from this burgeoning field.

You will learn basic statistical methods and how to apply them to solve business-specific issues with this microcredential. You will study big data analytics, develop fundamental quantitative data analysis abilities, and learn how to analyze complicated data sets in SQL and Excel.

Additionally, you’ll learn analytical modeling techniques that will help you in any field you work in to provide business advice.

Along with honing your fundamental modeling and analytical skills, you’ll also learn how to visualize your research using Tableau. Having experience with Tableau software will offer you an advantage because job postings demanding data visualisation skills have increased by 540% in the previous five years.

Desire to develop in-demand abilities in data visualisation? With our online courses, you can learn from leading universities and get certificates in data visualisation.

What is Tableau and why do you need it?

Tableau is an expert in analyzing and converting massive amounts of data into information that is actionable, clear, and focused on business.

One of the greatest data analytics tools on the market, according to Forbes, is Tableau. The need for Tableau expertise in the workplace is rising quickly, as evidenced by the 1,165% rise in job listings demanding knowledge of the program.

Tableau is a very useful tool for business analysts and data analysts since it makes it easier to display complex data in an interesting way.

Gaining proficiency with Tableau can boost your trust in data visualisation methods, allowing you to add greater strategic value to your company.

What data analysis skills will you learn? 

The microcredential will assist you with gaining the modeling, analytical, and visualization abilities required to succeed in the data analytics industry.

You’ll discover dashboard design and descriptive statistics, improve your knowledge of forecasts and models, and learn how to utilize Excel and SQL. Additionally, you’ll have a solid foundation in topics like data wrangling and ethics.

You will learn about the newest Tableau data visualization features and how to present your findings to coworkers in a way that inspires calculated action.

This course was developed in partnership with Tableau, and its instructors are leaders in their respective domains.

What qualifications will you receive? 

You will receive an official certification of completion from FutureLearn in addition to 15 UK academic credits at the postgraduate level from Coventry University. Our FAQs contain more information about how credits are applied. An electronic transcript from Coventry University will also be sent to you.

Our microcredentials can be utilized as a stand-alone credential or you can apply the academic credit gained toward further education. They are made to give you the abilities you need to develop in quickly expanding industries.

What jobs and industries is this course useful for?

As a business analyst, product manager, or HR manager, you will find that the skills you acquire in this course are applicable to nearly every industry and organization that wants to improve its data-driven decision-making.

You’ll find this course helpful whether you’re a novice data professional or an accomplished analyst hoping to move into a Tableau-focused career. Additionally, graduates who want to learn data analysis abilities for their first professional employment may profit from this course.

A list of some of the roles that would benefit from this training is provided below.

Business Analyst 

What is a business analyst? 

Business analysts use data to assist organizations in decision-making. Their comprehensive comprehension of data analytics and their adeptness in communication facilitate the connection between information technology and strategic decision-making.

Tableau and other data visualisation tools enable analysts to show data in a variety of easily comprehensible ways, which makes them an essential component of business analytics.

How much does a business analyst earn?

£53,000, $77,000, or £42,000

Data Analyst

What is a data analyst? 

Because of their similarities, business and data analysts frequently play comparable roles in smaller organizations. However, larger organizations typically hire individuals for each position because they can carry out specific tasks.

While both positions deal with huge data sets, a business analyst is only concerned with using the data to inform choices, whereas a data analyst is primarily concerned with gathering and analyzing the data.

How much does a data analyst earn?

AUD 72,000, $50,000, or £40,000

Marketing Manager

What is a marketing manager? 

The public image of a brand is under the control of a marketing manager. This can include things like an organization’s customer communications tactics, sales tactics, and brand identification.

Marketing managers use data analytics to gain a deeper understanding of their target audience, which enables them to develop marketing plans they are confident will be successful.

How much does a marketing manager earn?

£57,000, AUD 82,000, and £45,000

Product Manager

What is a product manager? 

Making sure a product functions as well as possible is the main duty of a product manager. This could apply to financial products like insurance and mortgages, or to technical products like software and apps.

It may be necessary for a product manager to perform extensive research into the specifications for their product, and doing so requires a solid grasp of data analytics.

How much does a product manager earn?

£53,000, $66,000, or 96,000 AUD