Introduction to Data Analytics for Managers Training

Live Online & Classroom Enterprise Training

Introduction to Data Analytics for Managers focuses on helping business leaders understand and use data for decision-making. It covers key analytics concepts, interpreting reports, and applying insights to drive business performance.

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What is Introduction to Data Analytics for Managers Training about?

This course is designed for managers and business leaders who want to leverage data analytics for strategic decision-making. It covers the fundamentals of analytics, key statistical concepts, data visualization, and real-world applications without requiring deep technical expertise. Participants will learn how to interpret analytics outputs, ask the right questions, and make informed, data driven decisions to improve business performance.

What are the objectives of Introduction to Data Analytics for Managers Training ?

Understand the role of data analytics in business strategy.
Differentiate between descriptive, diagnostic, predictive, and prescriptive analytics.
Interpret data visualizations and reports for insights.
Apply analytics to common managerial decision-making scenarios.
Communicate insights effectively with stakeholders.

Who is Introduction to Data Analytics for Managers Training for?

Managers and team leaders.
Business executives seeking data-driven strategies.
Project managers overseeing analytics initiatives.
Non-technical professionals transitioning into analytics roles.
Entrepreneurs wanting to use data for growth.

What are the prerequisites for Introduction to Data Analytics for Managers Training?

Prerequisites:

Basic understanding of business processes.
Familiarity with Excel or reporting tools (preferred but not mandatory)
General problem-solving and decision-making skills.
Interest in leveraging data for business success.
No prior technical or programming experience required.

Learning Path:

Introduction to analytics and its importance in management.
Types of analytics: descriptive, diagnostic, predictive, prescriptive.
Using data visualization for decision-making.
Case studies: applying analytics to business scenarios.
Building a data-driven decision-making culture.

Related Courses:

Business Analytics Fundamentals
Data Visualization for Business Leaders
Predictive Analytics for Managers
Introduction to Business Intelligence (BI) Tools

Available Training Modes

Live Online Training

2 Days

Course Outline Expand All

Expand All

Module 1- Introduction to the Course

About the Course

Sources of Data

Analytics Value Escalator

Story of a Company

Introduction to AzureML

Creating a Microsoft Account

Getting Started With AzureML

Module 2- Extract, Transform, Load

Introduction to Extract, Transform, Load (ETL)

Generating Value from Multiple Sources of Data

Databases and SQL

Joins

Other ETL Tasks

Module 3- Descriptive Analytics

Descriptive Analytics: Introduction

World Trade

Describing Single Quantity

Credit Card Dataset

Describing a Single Quantity in AzureML

Describing Two Quantities

Describing Two Quantities in AzureML

Introduction to Probabilit

Module 4- Diagnostic Analytics

Diagnostic Analytics: Introduction

Volkswagen Emissions

Hypothesis Testing: Concept

Hypothesis Testing: Practically

One Variable Hypothesis Test in AzureML

A/B Testing

Linear Regression

Design of Experiments

Module 5- Predictive Analytics

Resources for this Module

Predictive Analytics: Introduction

Facebook

Regression-based Forecasting

Machine Learning: Introduction

Machine Learning in AzureML

Other Machine Learning Methods

Who is the instructor for this training?

The trainer for this Introduction to Data Analytics for Managers Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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