Microsoft Excel & Power BI for A-Z Business Intelligence
Microsoft Excel & Power BI for A-Z Business Intelligence, available at $19.99, has an average rating of 4.68, with 98 lectures, 4 quizzes, based on 37 reviews, and has 1270 subscribers.
You will learn about Learn facts and theories for Data analysis, Statistical analysis, Hypothesis testing, and Machine learning for foundations of data analytics. Learn Excel for data Cleaning and Manipulation methods, Sorting and conditional Filtering, Formulas, and Functions, Graphs and Charts. Learn Excel for advanced analysis in PIVOT tables and charts, Data Analysis ToolPak for statistical analysis and interactive Dashboard. Learn Power Bi for data manipulation, analysis and extract significant insight and prepare for attractive dashboard. Use Power BI to create a professional, informative and amazing dashboard that tells story about your data and provide insights. Overcome 30+ practical assignments and 10 quizzes with 100+ questions, on all the topics over the entire career track. Accomplish TWO capstone projects: Bank churn analysis, and Website performance analysis. This course is ideal for individuals who are Individuals aiming to develop comprehensive knowledge in data analysis and dashboard in Excel & PowerBI. or Beginners interested in learning practical business Intelligence techniques for efficient data manipulation, visualization, and interpretation. It is particularly useful for Individuals aiming to develop comprehensive knowledge in data analysis and dashboard in Excel & PowerBI. or Beginners interested in learning practical business Intelligence techniques for efficient data manipulation, visualization, and interpretation.
Enroll now: Microsoft Excel & Power BI for A-Z Business Intelligence
Summary
Title: Microsoft Excel & Power BI for A-Z Business Intelligence
Price: $19.99
Average Rating: 4.68
Number of Lectures: 98
Number of Quizzes: 4
Number of Published Lectures: 98
Number of Published Quizzes: 4
Number of Curriculum Items: 137
Number of Published Curriculum Objects: 137
Number of Practice Tests: 2
Number of Published Practice Tests: 2
Original Price: $59.99
Quality Status: approved
Status: Live
What You Will Learn
- Learn facts and theories for Data analysis, Statistical analysis, Hypothesis testing, and Machine learning for foundations of data analytics.
- Learn Excel for data Cleaning and Manipulation methods, Sorting and conditional Filtering, Formulas, and Functions, Graphs and Charts.
- Learn Excel for advanced analysis in PIVOT tables and charts, Data Analysis ToolPak for statistical analysis and interactive Dashboard.
- Learn Power Bi for data manipulation, analysis and extract significant insight and prepare for attractive dashboard.
- Use Power BI to create a professional, informative and amazing dashboard that tells story about your data and provide insights.
- Overcome 30+ practical assignments and 10 quizzes with 100+ questions, on all the topics over the entire career track.
- Accomplish TWO capstone projects: Bank churn analysis, and Website performance analysis.
Who Should Attend
- Individuals aiming to develop comprehensive knowledge in data analysis and dashboard in Excel & PowerBI.
- Beginners interested in learning practical business Intelligence techniques for efficient data manipulation, visualization, and interpretation.
Target Audiences
- Individuals aiming to develop comprehensive knowledge in data analysis and dashboard in Excel & PowerBI.
- Beginners interested in learning practical business Intelligence techniques for efficient data manipulation, visualization, and interpretation.
Embark on a comprehensive journey to master Microsoft Excel and Power BI, the twin pillars of business intelligence and data analytics. This course is meticulously designed to equip you with the skills needed to become a successful Business Intelligence Analyst in 2024. Dive deep into data analysis, statistical methods, hypothesis testing, and machine learning to build a strong foundation in data analytics.
Why Get This Course?
-
Data Analytics Fundamentals:
-
Understand key concepts in data analysis, statistical analysis, hypothesis testing, and machine learning.
-
Gain insights into the theoretical underpinnings of data analytics.
-
-
Excel for Data Cleaning and Manipulation:
-
Master techniques for cleaning and manipulating data.
-
Learn sorting and conditional filtering to streamline your data.
-
Utilize a wide range of formulas and functions to enhance your data analysis capabilities.
-
Create informative graphs and charts to visualize data effectively.
-
-
Advanced Excel Analysis:
-
Explore advanced analysis techniques using Pivot tables and charts.
-
Leverage the Data Analysis ToolPak for sophisticated statistical analysis.
-
Build interactive dashboards that provide dynamic insights into your data.
-
-
Power BI for Data Analysis and Visualization:
-
Manipulate and analyze data using Power BI’s powerful tools.
-
Extract significant insights and prepare data for visualization.
-
Develop professional and visually appealing dashboards that tell compelling stories about your data.
-
-
Interactive Dashboards:
-
Create professional, informative, and stunning dashboards with Power BI.
-
Learn to present your data in a way that provides clear and actionable insights.
-
Practical Experience:
-
Assignments and Quizzes:
-
Overcome more than 30 practical assignments designed to reinforce your learning.
-
Test your knowledge with 10 quizzes comprising over 100 questions covering all topics throughout the career track.
-
-
Capstone Projects:
-
Bank Churn Analysis: Analyze customer data to identify factors leading to bank churn and develop strategies to retain customers.
-
Website Performance Analysis: Assess website data to understand performance metrics and improve user experience.
-
Course Features:
-
Detailed video lectures covering all essential and advanced topics.
-
Practical assignments to apply what you’ve learned in real-world scenarios.
-
Quizzes to test your understanding and retention of the material.
-
Two capstone projects to showcase your skills and knowledge.
-
Access to a community of learners for collaboration and support.
Outcomes:
By the end of this course, you will:
-
Have a solid understanding of data analysis, statistical methods, and hypothesis testing.
-
Be proficient in using Excel for data cleaning, manipulation, and advanced analysis.
-
Be skilled in creating dynamic and interactive dashboards using Power BI.
-
Have hands-on experience with practical assignments and real-world projects.
-
Be well-prepared for a successful career as a Business Intelligence Analyst.
Join us in this comprehensive course and take the first step towards mastering business intelligence with Microsoft Excel and Power BI!
Course Curriculum
Chapter 1: [Theory] Foundation of Data Analysis
Lecture 1: What is data analysis?
Lecture 2: Key components of data analysis
Lecture 3: Understanding exploratory data analysis
Lecture 4: Methods of exploratory data analysis Part 1
Lecture 5: Methods of exploratory data analysis Part 2
Lecture 6: Methods of exploratory data analysis Part 3
Chapter 2: [Theory] Foundation of Statistical Analysis
Lecture 1: What is statistical data analysis?
Lecture 2: Statistical data analysis v/s EDA
Lecture 3: Population v/s sample and its methods
Lecture 4: Types of statistical data analysis
Lecture 5: A recap on descriptive analysis
Lecture 6: Inferential statistics Part 1 – T-tests and ANOVA
Lecture 7: Inferential statistics Part 2 – Relationships measures
Lecture 8: Inferential statistics Part 3 – Linear regression
Chapter 3: [Theory] Foundation on Hypothesis Testing
Lecture 1: Hypothesis testing for inferential statistics
Lecture 2: Selecting statistical test and assumption testing
Lecture 3: Confidence level, significance level, p-value
Lecture 4: Making decision and conclusion on findings
Lecture 5: Complete statistical analysis and hypothesis testing
Chapter 4: [Theory] Foundation on Data Visualizations
Lecture 1: Visualizing data for the best insight delivery
Lecture 2: Several methods of data visualization Part 1
Lecture 3: Several methods of data visualization Part 2
Lecture 4: Several methods of data visualization Part 3
Chapter 5: [Excel] Data Cleaning and Formatting
Lecture 1: Identify and remove duplicates
Lecture 2: Dealing with missing values
Lecture 3: Defining and removing outliers
Lecture 4: Dealing with inconsistent values
Lecture 5: Text-to-columns for data separation
Chapter 6: [Excel] Sorting and Filtering for Data Precision
Lecture 1: Sorting and filtering data
Lecture 2: Advanced filtering with criteria
Chapter 7: [Excel] Conditional Formatting for Tabular Analysis
Lecture 1: Highlighting cells based on conditions
Lecture 2: Findings top and bottom insights
Lecture 3: Creating color scales and color bars
Chapter 8: [Excel] Formulas and Functions for Analyzing data
Lecture 1: SUM, AVERAGE, MIN, and MAX functions
Lecture 2: SUMIF, and AVERAGEIF functions
Lecture 3: COUNT, COUNTA, and COUNTIF functions
Lecture 4: YEAR, MONTH and DAY for date manipulation
Chapter 9: [Excel] Advanced Formulas and Functions
Lecture 1: IF STATEMENTs for conditional operation
Lecture 2: VLOOKUP for column-wise insight search
Lecture 3: HLOOKUP for row-wise insight search
Lecture 4: XLOOKUP for robust & complex insight search
Chapter 10: [Excel] Graphs and Charts for Visualization
Lecture 1: Data analysis with Stacked and cluster bar charts
Lecture 2: Data analysis with Pie chart and line chart
Lecture 3: Data analysis with Area chart and TreeMap
Lecture 4: Data analysis with Boxplot and Histogram
Lecture 5: Data analysis with Scatterplot and Combo chart
Lecture 6: Adjusting and decorating graphs and charts
Chapter 11: [Excel] PivotTables & Charts for Analysis
Lecture 1: PivotTables for group data analysis PART 1
Lecture 2: PivotTables for crosstab data analysis PART 2
Lecture 3: PivotCharts and Slicers for interactivity
Chapter 12: [Excel] Data Analysis ToolPak for Statistics
Lecture 1: Descriptive statistics and analysis
Lecture 2: Independent sample t-test
Lecture 3: Paired sample t-test
Lecture 4: Analysis of variance – One way
Instructors
-
Shahriar's Sight Academy
Empowering Tomorrow's Data Leaders
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 0 votes
- 3 stars: 2 votes
- 4 stars: 3 votes
- 5 stars: 31 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
You may also like
- Top 10 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024
- Top 10 Gardening Courses to Learn in November 2024