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Comprehensive Course Description:Do you want to master Business Intelligence (BI) tools? And gain in-depth knowledge of advanced techniques such as formatting the dashboard and publishing the dashboard to workspace? Or interested in just getting some hands-on experience in using Power BI and Tableau?Then this course is for you!Business intelligence, an umbrella term, covers different methods of gathering, storing, and analyzing data from business operations. This course has been designed in the same pattern. It starts with an introduction and overview of Business Intelligence. Then, you learn about the importance of Business Intelligence and its applications.But without data analysis and visualization, Business Intelligence is incomplete. Hence, to become familiar with hands-on BI concepts, you learn statistical terminologies along with their practical explanation. This knowledge will give you the needed confidence when using any particular statistical measure in the workplace.You implement Business Intelligence through its tools. These technology-driven business intelligence solutions are used for analyzing and visualizing raw data to present actionable information. BI combines business analytics, data visualization, and best practices that help you make decisions. You will learn two important, economical, user-friendly, and effective BI tools, Power BI and Tableau.Power BI, a Microsoft product, analyzes and visualizes raw data and presents actionable information. This course provides you guidance from installation to Dashboard along with practical exercises, quizzes, and a project on Sales Dashboard that will help you practice it side by side to become an expert in Power BI.Tableau, a visual analytics platform, transforms the way data is used to solve problems, empowering businesses to make the most of their data. In the course project, you design the Customer Analysis Dashboard with the help of our simple but comprehensive explanation.You will not stop here. You will also receive invaluable guidance on career development in the last section. This will help you prepare for interviews for any BI role. Also, you learn about the market trend and will be fully prepared to go to the workplace. You will know all the essential BI concepts and practice them with confidence. On the whole, this is a MUST take course if you want to enhance your career prospects.How Is This Course Different?This Learning by Doing course is a fine mix of theoretical and practical components. The two real-time projects in Power BI and Tableau are well-structured and help you get valuable practice.Since this course is a perfect blend of theory and practice, you are compelled to complete the exercises. The interactive nature of the course means you don't sit idly, watching the videos. Your learning is also dependent on the initiative you take to solve the quizzes and exercises.Even if you are a beginner, you will gain a lot of BI skills in this course. We have simplified the concepts and eased the learning curve.The course is:• Easy to understand.• Expressive.• Exhaustive.• Practical with live working on Excel, Power BI, and Tableau.• Up-to-date covering the latest developments in the BI field.This course is an in-depth compilation of all the elementary concepts. You will be motivated to make fast progress. You will gain more BI understanding than what you have learned. Periodic evaluation of your learning in the form of homework/exercises/quizzes has been included to reinforce your learning.Detailed course material, high-quality video content, exercise questions, explanatory course notes, and informative handouts are some of the features of this course. You can also approach our friendly team if you have any course-related queries.The tutorials are divided into 200+ short, engaging videos. The essential concepts and methodologies of Business Intelligence are covered in the eight sections of the course. You will find ample opportunities for practical implementation of what you learn. The total runtime of the course videos is 11+ hours.Why Should You Learn Business Intelligence?In today's age of technological progression, businesses aim to gain new customer insights and achieve efficiency improvements all the time. The latest data-driven tools are the lifeblood of businesses, as they enable them to gather more information about their customers than ever before.BI systems provide C-suite executives and decision-makers with access to vital data in real-time through different means, such as scheduled emails, visual dashboards, and spreadsheets. When you master the use of BI tools, you can leverage them to assimilate, interpret, and distribute enormous amounts of data accurately and fast. You can also transform complex, unrelated, and confusing data into understandable and actionable insights.Course Content:This all-encompassing course consists of the following topics:Section 1: Introduction of BI:1. Why BI?2. Applications of BI3. Introduction to the Course Instructor4. Introduction to the Course and Mini-Projects5. BI Project OverviewSection 2: Types of Business Intelligence Tools and Applications:1. Ad hoc analysis2. Online Analytical processing3. Mobile BI4. Real-time BI5. Operation Intelligence6. Open-Source BI7. Embedded BI8. Collaborative BI9. Location Intelligence10. Business intelligence vendors and marketSection 3: Statistics Overview1. Welcome to the Statistics Course1.1. What Course Is It About?1.2. Sample1.3. Population2. Descriptive Statistics2.1. Data Types2.2. Level of Measurement2.3. Numerical and Categorical Variables2.4. Scatter Plot, Cross Table, and Histogram2.5. Mode, Median, and Mean2.6. Coefficient of Variation, Standard Deviation, and Variance2.7. Skewness, Covariance, and Correlation3. Inferential Statistics3.1. What Is Inferential Statistics?3.2. Distribution, Normal Distribution, and Standard Normal Distribution3.3. What Is a Standard Error?3.4. Estimators and Estimates3.5. What Is the Central Limit Theorem?4. Overview of Confidence Intervals4.1. What Are Confidence Intervals?4.2. Clarifications and Margin of Error4.3. Z-Score4.4. T-Score and Student's T Distribution4.5. Dependent Samples, Two Mean Test4.6. Independent Samples, Two Mean Test5. Hypothesis Testing5.1. Null vs. Alternative Hypothesis5.2. Error Types5.3. Rejection Region, Significance Level, and P-Value5.4. Population Variance Known5.5. Population Variance Unknown5.6. Dependent and Independent Samples for Mean TestSection 4: Statistical Practices Using Excel1. Descriptive Statistics2. Measures of Central Tendency3. Data Spread4. Data Visualization5. Correlation6. Paired Sample T-Test7. T-Test for Equal and Unequal Variances8. Confidence Interval9. Hypothesis Testing10. Example Project: Regression AnalysisSection 5: Power BI1. Introduction to Power BI1.1 Power BI Overview1.2 Installation2. Data Sources2.1 Introduction to Data Sources2.2 Query Editor2.3 Importing Files2.4 Data Modeling2.5 Lookup Data Tables2.6 Active vs. Inactive Relationships2.7 Roles2.8 Refreshing Data and Hierarchies3. Data Modeling3.1 Introduction3.2 DAX3.3 Calculated Columns3.4 Measures3.5 Complex Functions3.6 Hybrid Measures3.7 Star Schema3.8 Snowflake Schema3.9 Filter flow3.10 Bi-directional Cross-filtering3.11 Time Intelligence3.12 Defining Day and Date Function3.12 Making Your Date Table4. Design and Interactive Reports4.1 Adding Visuals4.2 Adding Measures to Reports4.3 Applying Basic Filtering4.4 Slice and Dice4.5 Apply Formatting5. Dashboard5.1 Add Data to the Dashboard5.2 Format the Dashboard5.3 Publish Dashboard to Workspace6. Career Opportunities with Power BISection 6 Tableau1. Introduction to Tableau1.1. Tableau Overview1.2. Installation2. Tableau Fundamentals: Data Sources, First Bar Chart Graph2.1. Exciting Challenge2.2. Excel / CSV File Connection with Tableau2.3. Tableau Navigation Overview2.4. Establish Fields2.5. Addition of Colors, Labels, and Formatting2.6. Final Worksheet Exportation3. Overview of Different Terms3.1. Overview3.2. Understand the Extracted Data3.3. Knowledge of Aggregation, Granularity, and Time-Series3.4. Level of Detail3.5. Working with Charts and Filter4. Overview of First Dashboard, Maps, and Scatter Plots4.1. Overview4.2. Joins and Relationship4.3. Data Joining4.4. Map Creation4.5. Scatter Plot Creation4.6. First Dashboard Creation with Highlighting and Filters5. Overview of Dual-axis Chart, Joining, Relationship, and Blending5.1. Overview5.2. Working with Joins5.3. Joining with Different Conditions, i.e., Multiple Fields and Duplicate Values5.4. Difference Between Blending and Joining Data5.5. Working on Blending Data5.6. Creation of Dual Axis Chart5.7. Understanding of Calculated Fields5.8. Another Exciting Challenge with a Data Set5.9. Model Dataset5.10. Understanding of Relationship Data6. Overview of New Dashboard6.1. Overview6.2. Dataset6.3. Understanding of Mapping6.4. Table Calculations: For Age6.5. Table Calculations of Bins and Distribution6.6. Power Parameters6.7. Treemap map chart6.8. New Dashboard7. Updated Way of Data Preparation7.1. Overview7.2. Data Format and Data Interpreter7.3. Pivot and Multi Data Grid7.4. Conversion of One Column into Multiple Columns7.5. Solutions to Fix the Data Errors8. Overview of New Design Feature and Many More8.1. Difference of Custom Territories from Geographic Roles and Groups8.2. Understanding of Highlighter and Clustering8.3. Understanding of Cross-Database Joining8.4. Clusters Modeling and Saving Overview8.5. New features: Of Design8.6. New features: Of Mobile9. Advancement in Tableau9.1. Overview9.2. Data Extraction from a Text File9.3. Connection and Joining to Spatial Files9.4. Tooltip: New feature9.5. Understanding of Jump and Step Line ChartSection 7: Real-Time Projects1. Sales Dashboard Using Power BI (Dashboard)2. Customer Analysis Using Tableau (Dashboard)Section 8: Career Development1. Preparing for the Interview2. Roles in Business Intelligence3. Market Value of Various BI Roles WorldwideAfter the satisfactory completion of this course, you will be able to:● Relate the concepts and practices of business intelligence techniques and implement them using data analytic BI software.● Apply for the jobs related to business intelligence, data analytics, and data science roles.● Work as a freelancer for jobs related to BI such as Business analyst and Data modeler.● Implement any project that requires BI knowledge of Power BI and Tableau from scratch.● Extend or improve the implementation of any other project for performance improvement.● Know the theory and practical aspects of BI, Power BI, and Tableau.Who this course is for:● Beginners in Business Intelligence, Power BI, and Tableau.● People who want to extend their business as well as their career through intelligent BI techniques.● People who love to make themselves ready for BI roles● People who want to learn BI along with its implementation in realistic projects.● Statistical, Power BI, data analytics, and Tableau lovers.● Anyone interested in learning new tools.

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