Big Data Analytics

Big Data Analytics involves collecting large amounts of data from various sources and integrating this structured and unstructured data with real-time feeds and queries to uncover hidden patterns, correlations, and other valuable insights for the benefit of consumers; such as analysts and organisations.

This presents organisations with significant new opportunities and a competitive advantage derived from their most valuable asset - information. As such, Big Data helps drive efficiency and quality as well as facilitates the development of personalised products and services that further improve customer satisfaction and profit.

As two-time winners of the Best Sales Training Provider at the HR Vendor of the Year Awards 2018 & 2019, Maslow is poised to take your organisation to greater heights of teamwork, management, and communication

Big Data Analytics Solutions

What you will learn?

Our Big Data Analytics – Data Management and Analytical Skills e-learning programme will introduce you to:

• The domain of Big Data
• The drivers of advanced analytics
• Business understanding
• Data understanding
• Data preparation techniques and tools
• Modelling techniques
• Evaluation techniques
• Data deployment techniques

Why you should learn it?

By the end of the e-learning programme, participants will be able to:

• Communicate effective and impactful data-driven narratives
• Understand the role of data scientists
• Develop analytic project lifecycles designed for particular characteristics
• Understand the challenges behind hypothesis-driven analysis
• Master fundamental statistical techniques in the context of the open-source analytic software environment
• Understand the importance of exploratory data analysis
• Understand key notions of hypothesis development and testing
• Understand a range of advanced analytical methods; such as clustering, classification, regression analysis, time series, and text analysis
• Interpret data into visualisations via data storytelling
• Become active contributors to Big Data analytics projects

How will it help you?

Organise spreadsheets and lay the foundation for easier data analysis
Use PivotTables and Functions to effectively summarise and augment data
Data profiling techniques that save time, energy, and resources
Assess data distributions and statistical relationships
Simple statistical techniques to examine distributions of different subgroups
Examine linear relationships through the Pearson Correlation Coefficient via a combination of scatterplots and Excel formulae
Unlock analytics capabilities through expert-level visualisation techniques
Learn Power BI essentials to create descriptive analytic charts
Basic & strategic charting that help decision-makers digest large quantities of data faster
Create spark lines, boxplots, and line graphs for analysis towards decision-making
Advanced chart tools to develop a higher level of actionable insight
Visualise data as well as design dashboards for different audiences and purposes, exploration, reporting etc
Dashboarding that enables an entire team to work with the data and find creative insights