Advanced Business Data Analytics

In an ever-increasingly challenging business world companies look to data to provide the edge required for operational superiority. Data Analytics not only provides a comprehensive view of the past but also a strong indication of what is in store for the future. Extracting these insights from data and formulating a robust business case to aid management make informed decisions is now the primary challenge of most organizations.

This course focuses on developing an Analytical thinking process and equips participants with the necessary skills required to perform Data Analytics using a platform (R) that is open source and is supported by other Advanced Analytics and Business Intelligence platforms.

Training Objectives

At the end of the training, participants will be able to;

• Participants will be provided with a basis for going deeper into advanced investigative and computational methods.
• Participants will understand what business analytics means and its importance in the industry.
• Grasp the fundamentals of excel analytics functions and conditional formatting.
• Learn how to analyze with complex datasets using pivot tables and slicers.
• Solve stochastic and deterministic analytical problems using tools like scenario manager, solver and goal seek
• Apply statistical tools and concepts like moving average, hypothesis testing, ANOVA and regression to data sets using excel.
• Represent your findings using charts and dashboards.

Get introduced to the latest Microsoft analytic and visualization tool.

Learning Outcomes

At the end of this course, participants will understand how to:

• Integrate information technologies with data science methods to extract value from data sets
• Think critically about the business implications, meaningfulness and applicability of observed data patterns and analytical inferences
• Identify opportunities, needs and constraints for data analytics within organizational contexts
• Select appropriate analytic tools for specific managerial issues
• Compose data-analytic tools and concepts to create innovative data-analytic solutions
• Demonstrate proficiency with several data-analytic tools
• Communicate clearly and persuasively to audiences with various backgrounds
• Provide leadership in analytics teams and projects

Methodology

This course is delivered through the actual hands-on practice of data analytics in R. Each participant will conduct their own analysis using sets of data provided for the training. The end goal of the workshop is to give participants a practitioner’s view of Data Analytics by blending Analytical thinking, Statistics, and R skills with emphasis on understanding Analytics, Learning R and understanding how analytics could influence management decisions

Target Audience

Data Analysts, Hands-on Managers, Data Enthusiasts,

Analytics Professionals, BI and reporting professionals, Project managers, Students, Professionals working with data in any industry.

Mode Of Delivery

Virtual Class with instructor-led class exercises and project-based/assignments learning methodology
12hours of learning sessions
Course material and Course Certificate will be issued
Course video available on demand
Face- to- Face learning available on request