Data science, also known as data-driven science, is an interdisciplinary field about scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining.
Managers and Leaders are faced with a highly dynamic environment driven by technology and challenges to existing business models and rules. Successfully riding this chaos is the thought uppermost amongst them. Gathering Business Insights for Growth strategies has become paramount. Experience and Judgment based decisions require to be supported with Data Analytics. A change in mindset on how data analytics can be integrated into decision-making is the order of the day. Data Analytics for Managers and Leaders seeks to provide the building blocks for creating a program within the organisation. Tools to use to deploy the ideas and an appreciation of how decision making models can be defined and worked upon. What is Big Data and how can one start thinking of leveraging benefits from Big Data.
ALL Professionals, Managers and Leaders at ALL LEVELS who want to follow an upwards growth trajectory for the business and themselves. Entrepreneurs seeking to professionalise their business and create a larger institution Students seeking a structured course to add credentials to their resume as they walk out from their institutions into the world.
Over 3 months and 80 videos and more than 18 hours of viewing time, this course provides the building blocks for analytics for managers and leaders. It covers a broad spectrum of topics
The Program covers what is Analytics, where it is used & why it is used and seeks to explain Elements, Data, Variables, Types of Analytics & summary Statistics. Explaining the application of Descriptive Statistics with cricket data, different Models & Algorithms are discussed and presented. Special importance is given to the presentation of analytical results and few of the popular visual presentations are demonstrated.
Excel Basics, different modelling techniques approach for a few sample problem statement are described and an introduction to data summarisation and analysis with Pivot Tables including charting options and more importantly, when to use what type of chart. It introduces you to more advanced and interesting functionality that allows you to perform advanced data analysis including using multiple nested functions and advanced statistical analysis via the data analysis ToolPak. An understanding of how to build and implement advanced statistical and analytics algorithms using Excel is provided. You will learn how to build linear and logistic regression models, how to create segments and how to run simulations in Excel.
This is an introduction of why analytics is important in business decision making, when analytics works and does not work, benefits of analytics over experience based decision making. Understand what is Business Analytics, overview of workings of such a model and study each of its components. Introduction to various terminologies in Analytics, basics of Data Exploration and Visualization, application of analytics and model validation.
Starting for setting up Analytics team to different functions of an analyst, types of analysts, responsibilities, proficiency and management of an analytics team.
An overview of Big Data, application, characteristics of Big Data, Staffing a Big Data Team and Key concepts in Big Data are also presented.