Data Analytics

In an organization, data drives all decision making, provide critical support to the business around issues of organizational health. Data is responsible for not just taking the pulse of employees but also harnesses employees, customers feedback to drive change for the better.

As Data is more readily available in the digital economy, it plays a significant role in helping businesses better understand the customers, improve marketing campaigns, customize their content, and improve decision making skills and performance by discovering patterns in data.

Consequently, how to make use of data without the proper data analytics tools and processes. With data analytics, one can uncover and draw insights to grow your business.

The skills to make sense of data facilitates you to make better informed decisions. And that is what we call as Data literacy skills. Such skills are applicable to everyone – from managers and CEOs to technical professionals. While, Data Industry is equipped with various tools for Analytics, each tool has it own specialty and can be used based on Business needs.

What is Data Analytics?

Data analytics involves exploring through voluminous datasets to reveal patterns and trends, derive conclusions, and support business decisions with data-based insights. Data analysis attempts to answer questions such as, “What is the influence of weather or seasonal factors on customer preferences in shopping?” The practice of data analytics encompasses many diverse techniques and approaches and is also a part of data science, and are referred as data mining, data modeling, or big data analytics.

Our Data Analytic suite is beginner -friendly and caters to anyone aspiring to develop your data literacy skills for the workplace. Our package includes beginner courses that introduce basic concepts to more technical programming and visualization techniques, whereby, you will acquire data analytics skills with hands-on practice on case studies, the tools that are used to perform daily office routines.

Learning Outcome

• Gain an understanding of the data ecosystem
• Types of Data Analytics
• Fundamentals of data analysis, such as data collection, data cleaning, data preparation, and data visualization
• Storytelling with data is where you learn the soft skills that are required to effectively communicate about your data to stakeholders and bridging between data and decision-making skills

Explore Data Analytics Tools

• Power Bi
• Tableau
• Qlikview
• Tibco Spotfire
• Python
• R