Lead the Business with Analytics (Big Data, Data Analytics, Make Data Driven Business Decisions)

Lead the Business with Analytics

(Big Data, Data Analytics, Make Data Driven Business Decisions)

Course Overview

Businesses must understand the changing market and trends to stay ahead of competition. Data is the foundation of new waves of productivity growth, innovation and richer customer insight.

This is a hands-on course with a combination of lectures, problem cases and computational exercises. Objective of this course is introducing how businesses use data analytics to make better decisions and drive optimal results, why data is crucial for the organizations, how to develop a data strategy and how to succeed in managing data analytics projects.

Target Audience

The course is for analytically minded executive managers who are looking to leverage analytics to make critical business decisions. This course is beneficial for professionals from various backgrounds such as marketing, business planning, customer care, finance, analytics and IT, etc. from telecom, banking, retail, hospitality, tourism, healthcare, logistics and manufacturing industry.

Key Takeaways

·  Enabling the delegates to build a framework to link the business strategy with the initiatives on data analytics and how to apply data analytics in different domains of the organization.

·  Enabling the delegates in managing data analytics projects, selecting the tools and measuring ROI, and building data analytics teams.

·     A crash course on data science to develop the analytical thinking by understanding what is data science, what are the fundamental analytical techniques and how statistics is applied in real business problems.

·   Developing the understanding how data is used across different industries to deliver value.

Duration of the Course

2 days course.

Course Outline

Day 1: Data Analytics Crash Course

Delegates will solve business problem case study using data with the emphasize on statistical thinking, stressing conceptual understanding rather than mere knowledge of procedures and using MS Excel for analyzing data.

·        Data Science, Big Data, and Machine Learning

This section is about introducing data science, big data, machine learning, data science venn diagram, importance of data science, different types of data and machine learning.

·        Data Analytics Life Cycle

In this section delegates, will know the overview of phases and structure of a data science project, and key roles for a successful analytics project.

·        Data Science Toolbox

Technology is the major component which makes possible for management to analyze data. In this section delegates, will get an overview of technologies for data science.

·        Describing, Estimating and Inferencing Data

Focus of this section is on the fundamental tools and methods of data analysis and statistics, data visualization, descriptive statistical measures, exploratory data analysis, sampling and estimation, distributions and intervals, ANOVA and statistical inference.

·        Basic Predictive Analytics

In this section, focus is to gain a basic understanding of how to use and interpret trendlines and regression models, statistical issues associated with interpreting regression analysis results, and practical issues in using trendlines and regression as tools for making and evaluating decisions.

Day 2: Wining with Data

This module will provide an overview of leading, shaping the direction, and planning the strategies how to apply data analytics in different segments of the organization. Delegates will solve business problems and case studies to sharpen the analytical thinking.

·        Driving Extra Ordinary Results

Delegates will learn how small and large businesses from different industries using data to deliver value in diverse area, what are the results and how they overcome the challenges.

·        Building Strategic Framework & Implementing Analytics

Focus of this section is towards identifying where to play and how to win, identifying the strategic implications and developing the strategy. Delegates will get introduction of using big data strategy documents, business model maturity index, prioritization matrix, measuring the ROI, requirement gathering for analytics projects, analytics implementation methodology, and analytics change management.

·        Developing & Acquiring the Talent

As a data science leader, delegates need to know how to recruit, organize and manage data science team. In this section, we will cover key roles in data science team, what are expected qualifications and skills for each role, and how to manage data science team.

This course is available for delivery in UAE, Kingdom of Saudi Arabia, Bahrain, Qatar, Oman, Kuwait, Egypt, Sudan, Africa, GCC.

To know more whatsapp +971 55 8400399, email: waheedensari@hotmail.com