Master Business Analysis in 21 Days: Excel, PowerBI & Python
Master Business Analysis in 21 Days: Excel, PowerBI & Python, available at $49.99, has an average rating of 4.5, with 57 lectures, based on 5 reviews, and has 35 subscribers.
You will learn about What is business analysis What is story telling in business analysis How to build dashboards using Power BI How to analyze data using Excel What is variance analysis What is ageing analysis Why knowledge of problem solving approaches are important for business analysts How to use Python to create visuals This course is ideal for individuals who are Business Analysts or Data Analysts or Managers and Sr. Managers or CXO's who want to learn the latest in business analysis or Finance & Accounting professionals or Professionals who prepare dashboards and reports or Business Planners or Business owners or Data science professionals It is particularly useful for Business Analysts or Data Analysts or Managers and Sr. Managers or CXO's who want to learn the latest in business analysis or Finance & Accounting professionals or Professionals who prepare dashboards and reports or Business Planners or Business owners or Data science professionals.
Enroll now: Master Business Analysis in 21 Days: Excel, PowerBI & Python
Summary
Title: Master Business Analysis in 21 Days: Excel, PowerBI & Python
Price: $49.99
Average Rating: 4.5
Number of Lectures: 57
Number of Published Lectures: 57
Number of Curriculum Items: 57
Number of Published Curriculum Objects: 57
Original Price: $64.99
Quality Status: approved
Status: Live
What You Will Learn
- What is business analysis
- What is story telling in business analysis
- How to build dashboards using Power BI
- How to analyze data using Excel
- What is variance analysis
- What is ageing analysis
- Why knowledge of problem solving approaches are important for business analysts
- How to use Python to create visuals
Who Should Attend
- Business Analysts
- Data Analysts
- Managers and Sr. Managers
- CXO's who want to learn the latest in business analysis
- Finance & Accounting professionals
- Professionals who prepare dashboards and reports
- Business Planners
- Business owners
- Data science professionals
Target Audiences
- Business Analysts
- Data Analysts
- Managers and Sr. Managers
- CXO's who want to learn the latest in business analysis
- Finance & Accounting professionals
- Professionals who prepare dashboards and reports
- Business Planners
- Business owners
- Data science professionals
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“What are the components of business analysis”
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“What are the four types of business analysis”
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“What is starting point of data analysis?”
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“What is problem solving”
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“What is AIDA model”
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“Why story telling is important in data and business analysis”
Find answer to these and gain useful insights in our comprehensive Business Analysis Program. In today’s data-driven world, having a strong understanding of business analysis is essential for success. Our program covers the critical skills a Business Analyst should possess:
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Data Analysis skills
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Problem-Solving skills
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Communication skills
We understand that a Business Analyst must have a deep understanding of data analysis and be proficient in using the right tools. That’s why we have included coverage of Excel, PowerBI, and Python in the program. These tools provide both programmatic and non-programmatic ways of analyzing data, so you will have a complete understanding of how to approach data analysis.
Additionally, our program includes coverage of PowerBI, an emerging business intelligence tool that allows you to build stunning visual dashboards in a short amount of time. This is a critical skill for any aspiring Business Analyst to have in today’s fast-paced business environment.
We also cover two important monthly analyses, Variance and Ageing, both from a conceptual and implementation perspective. This hands-on program provides datasets for learners to practice along with video lectures or shortly after.
Our program is taught by a seasoned practitioner with over two decades of experience in the field of Business Analysis. You will learn from someone who has seen the evolution of the field and can provide valuable insight and guidance.
Take advantage of this opportunity to enhance your skills and become a successful Business Analyst.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: What is business analysis
Lecture 1: Day 1: What is business analysis
Lecture 2: Day 1: Story Telling and AIDA Model
Chapter 3: Data Analysis Approaches
Lecture 1: Day 2: Getting Started with data analysis
Lecture 2: Day 2: Variation Vs Average
Lecture 3: Day 3: Trends
Lecture 4: Day 3: Percentile
Lecture 5: Day 3: Outliers
Lecture 6: Day 3: Box Plot in Excel
Lecture 7: Day 4: Dependent Vs Independent Variable
Lecture 8: Day 5: Scatter Plot
Lecture 9: Day 5: Creating a scatter plot in excel
Lecture 10: Day 6: Pattern Recognition
Lecture 11: Day 6: Representative Vs Random Sampling
Lecture 12: Day 7: Ageing Analysis
Lecture 13: Day 7: Ageing Analysis in Excel
Lecture 14: Day 8: Variance Analysis
Chapter 4: Problem Solving Approaches
Lecture 1: Day 9: Cause & Effect Diagram
Lecture 2: Day 10: Pareto
Lecture 3: Day 10: Pareto Analysis in Excel
Lecture 4: Day 11: Cause Vs Root Cause
Lecture 5: Day 11: Corrective Action Vs Preventive Action
Chapter 5: Data Analysis Using Python
Lecture 1: Day 12: Introduction to Colab: Google Cloud Development Environment
Lecture 2: Day 12: Getting Started with Python
Lecture 3: Day 12: Variables
Lecture 4: Day 12: Operators
Lecture 5: Day 13: Conditions
Lecture 6: Day 13: Loops
Lecture 7: Day 13: Functions
Lecture 8: Day 14: Arrays
Lecture 9: Day 14: List
Lecture 10: Day 14: Tuple
Lecture 11: Day 14: Set
Lecture 12: Day 14: Dictionary
Lecture 13: Day 15: Getting Started with NumPy
Lecture 14: Day 15: NumPy: Joining Arrays
Lecture 15: Day 15: NumPy: Splitting Arrays
Lecture 16: Day 16: Getting Started with Pandas
Lecture 17: Day 16: Data analysis using Pandas
Lecture 18: Day 17: Data Visualization using Matplotlib
Lecture 19: Day 17: Data Visualization Using Seaborn and Altair
Chapter 6: Data Analysis Using Power BI
Lecture 1: Day 18: Power BI Download
Lecture 2: Day 18: Introducing the Power BI tool
Lecture 3: Day 18: Loading the data
Lecture 4: Day 18: Data Transformation
Lecture 5: Day 19: Text Box
Lecture 6: Day 19: Card Visual
Lecture 7: Day 19: Stacked Column Chart
Lecture 8: Day 19: Multi Row Card
Lecture 9: Day 19: Tree Map
Lecture 10: Day 20: Pie Chart
Lecture 11: Day 20: Dual Axis Chart (Line and Stacked Column Chart)
Lecture 12: Day 20: Ribbon Chart
Lecture 13: Day 20: Slicer
Lecture 14: Day 20: Funnel Chart
Lecture 15: Day 21: DAX
Lecture 16: Day 21: Publishing the report
Instructors
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SeaportAi .
Artificial Intelligence and Business Transformation Experts
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 4 votes
- 5 stars: 1 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!
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