Business Analytics Using Data Science

Complete guide applicable to Business analysis using visualization, assessment through Python, Power BI and Tableau

What you'll learn

You will explore the goals, overview, definition, and categories of business visualization.

Learn the stakeholders interest in business analysis and the primary objectives of business visualizations.

You will be able to explore key concepts in business visualization, including the foundational principles and applications of business data preparation

Learn business data blending, and dashboard creation for business analysis

Learn the basics of designing effective business worksheets, enhancing user interaction, and implementing calculated fields in business workbooks.

Explore business visualization assessments, understanding various types of business analysis

Learn how business analysts apply and interpret their findings to improve dashboard effectiveness and user performance in business workbooks.

Explore business visualization assessments related to various business dashboard scenarios, including evaluating current and historical business performance

Learn understanding the impact of visualization factors on user behavior and business outcomes

Learn how business analysts address and present their findings to improve worksheet design, performance metrics, and overall dashboard effectiveness

Discover how to gain knowledge in conducting business visualization assessments, understanding various evaluation techniques

Learn recognizing the limitations and challenges in applying business visualization practices to improve dashboard outcomes and user effectiveness

Requirements

You should have an interest in the fundamentals of business visualization, including key concepts, business analysis techniques, and their application in business dashboard settings.

An interest in the key concepts of business visualization, including the stakeholders involved in business dashboard analysis, the objectives of business evaluations, and foundational principles in business visualization practice

Description

DescriptionTake the next step in your career! Whether you’re an up-and-coming business analyst, an experienced business dashboard designer, an aspiring business manager, or a budding business visualization expert, this course is an opportunity to sharpen your business analysis skills, increase your effectiveness in business dashboard design, performance metrics, and user development, and make a positive and lasting impact in your organization.With this course as your guide, you learn how to:● All the fundamental functions and skills required for effective business analysis practice.● Transform Goals, Overview, Definition, and Categories of Business Analysis, Stakeholders Interested in Business Analysis, and Goals of Business Analysis.● Get access to recommended templates and formats for detailed business analysis and business dashboard reporting.● Explore business analysis assessments, understanding various business analysis techniques, and how to present findings effectively with useful templates and frameworks.● Invest in yourself today by enhancing your skills in business analysis, and reap the benefits for years to come.The Frameworks of the Course● Engaging video tutorials, case studies, analyses, downloadable resources, and interactive exercises. This course is designed to cover the Goals, Overview, Definition, and Categories of business analysis, the roles and responsibilities of key stakeholders in business dashboard design, and foundational concepts in business data preparation, performance metrics, and user engagement.● The core concepts of business visualization, including understanding business data preparation (dashboard requirements), the performance metrics process, the presentation of business dashboard roles and responsibilities, user engagement strategies, and methods for assessing business dashboard effectiveness. Preparing and implementing strategies for performance metrics and user development, including techniques for evaluating and enhancing dashboard roles and organizational effectiveness.● The course includes multiple case studies, resources such as templates, formats, worksheets, reading materials, quizzes, self-assessments, and assignments to enhance and deepen your understanding of key business analysis concepts, including business data preparation, performance metrics, user engagement, and business dashboard behavior.In the first part of the course, you’ll learn the details of the Goals, Overview, Definition, and Categories of business analysis, the roles and responsibilities of key stakeholders in business dashboard design, and foundational principles in business data preparation, performance metrics, and user engagement. Part 1 covers the basics of designing effective business dashboard elements, enhancing user performance, and implementing performance metrics systems.In the middle part of the course, you’ll develop knowledge of business data preparation and business dashboard design, understanding various roles and responsibilities within a business dashboard, user performance metrics, methods for assessing business dashboard effectiveness and user engagement, and techniques for implementing effective performance metrics systems. You’ll also explore practical strategies for enhancing business dashboard effectiveness and user development.In the final part of the course, you’ll develop knowledge in implementing advanced business visualization practices, including designing effective performance metrics systems, developing strategies for user engagement and business dashboard development, and understanding the limitations of performance metrics techniques. You will receive full support, and all your queries will be answered within 48 hours.Course Content:Part 1Introduction and Study Plan● Introduction and know your Instructor● Study Plan and Structure of the Course1. Introduction to Programming Language● Introduction to Programming Language● Common Application● Data Cleaning● Getting Started● Key Packages and Tools● Building a Predictive Model● Key Concepts● Steps in Statistical Analysis● Regression Analysis● Visualizing Data● Getting Started2. Basic Syntax and Data Types● Basic Syntax and Data Types● List, Tuples and Dictionaries● Module and Libraries● Matplotlib● Business Analytics with Python3. Data Visualization With Python and Tableau● Data Visualization With Python and Tableau● Seaborn● Data Visualization With Tableau● Integrating Python with Tableau4. Analytics Foundation Using statistical Methods● Analytics Foundation Using statistical Methods● Hypothesis Testing● Logistics Regression5. Business Decision making using statistics● Business Decision making using statistics● Exam Workflow● Descriptive Statistical Example● Regression Analysis Example● Business Analysis Planning and Monitoring● Planning Business Analysis Communication6. Strategy Analysis● Strategy Analysis● Developing a Change Strategy● Tools and Techniques7. Business Intelligence● Business Intelligence● BI tools and Technologies8. Business Process● Business Process● Process Design● Process Automation● Process Monitoring and control9. Excel and Advanced Excel● Excel and Advanced Excel● Example Conditional Formatting● Example Power Query10. Project● Project● Data Exploration and Analysis● Data Visualization● Interpret Results● Communicate Findings● Implement and Monitor● Learning ResourcesPart 21.Assignment: Data Collection and Management2.Project:Enhancing Data Collection and Management for Improved Business Analytics3.Assignment: Predictive Analytics4.Project: Implementing Predictive Analytics to Optimize Customer Churn Prediction

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Introduction to Programming Language

Lecture 3 Common Application

Lecture 4 Data Cleaning

Lecture 5 Data Cleaning 2

Lecture 6 Getting Started

Lecture 7 Key Packages and Tools

Lecture 8 Key Packages and Tools 2

Lecture 9 Building a Predictive Model

Lecture 10 Key Concepts

Lecture 11 Steps in Statistical Analysis

Lecture 12 Regression Analysis

Lecture 13 Visualizing Data

Lecture 14 Getting Started

Section 2: 2. Basic Syntax and Data Types

Lecture 15 Basic Syntax and Data Types

Lecture 16 List, Tuples and Dictionaries

Lecture 17 Module and Libraries

Lecture 18 Matplotlib

Lecture 19 Business Analytics with Python

Lecture 20 Business Analytics with Python 2

Section 3: 3. Data Visualization With Python and Tableau

Lecture 21 Data Visualization With Python and Tableau

Lecture 22 Seaborn

Lecture 23 Data Visualization With Tableau

Lecture 24 Integrating Python with Tableau

Lecture 25 Integrating Python with Tableau 2

Section 4: 4. Analytics Foundation Using statistical Methods

Lecture 26 Analytics Foundation Using statistical Methods

Lecture 27 Hypothesis Testing

Lecture 28 Hypothesis Testing 2

Lecture 29 Logistics Regression

Section 5: 5. Business Decision making using statistics

Lecture 30 Business Decision making using statistics

Lecture 31 Exam Workflow

Lecture 32 Descriptive Statistical Example

Lecture 33 Regression Analysis Example

Lecture 34 Business Analysis Planning and Monitoring

Lecture 35 Business Analysis Planning and Monitoring 2

Lecture 36 Planning Business Analysis Communication

Section 6: 6. Strategy Analysis

Lecture 37 Strategy Analysis

Lecture 38 Evaluating and Selecting Strategy

Lecture 39 Developing a Change Strategy

Lecture 40 Tools and Techniques

Section 7: 7. Business Intelligence

Lecture 41 Business Intelligence

Lecture 42 BI tools and Technologies

Section 8: 8. Business Process

Lecture 43 Business Process

Lecture 44 Process Design

Lecture 45 Process Automation

Lecture 46 Process Monitoring and control

Section 9: 9. Excel and Advanced Excel

Lecture 47 Excel and Advanced Excel

Lecture 48 Example Conditional Formatting

Lecture 49 Example Power Query

Section 10: 10. Project

Lecture 50 Project

Lecture 51 Project 2

Lecture 52 Data Exploration and Analysis

Lecture 53 Data Visualization

Lecture 54 Interpret Results

Lecture 55 Communicate Findings

Lecture 56 Implement and Monitor

Lecture 57 Learning Resources

Section 11: Course Work

Lecture 58 Assignments

Lecture 59 1.Assignment: Data Collection and Management

Lecture 60 2.Project:Enhancing Data Collection & Management for Improved Business Analytics

Lecture 61 3.Assignment: Predictive Analytics

Lecture 62 4.Project: Implementing Predictive Analytics Optimize Customer Churn Prediction

Professionals with knowledge of business visualization assessments who want to see themselves well-established in the foundational principles and applications of business visualization.,New professionals who are looking to succeed in various business analysis methods and practices, applying them effectively in business dashboards and organizational settings.,Existing executive board directors and managing directors who are looking to gain deeper insights into business visualization to enhance their teams' and organizations' approach to business dashboard design, performance metrics, and user development.