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Business Analytics with Advanced Power BI
Business Analytics with Advanced Power BI
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Unleash the Power of Data with Advanced Power BI
This comprehensive course is designed to empower you to become a proficient business analyst using Microsoft Power BI. You'll embark on a deep dive into the intricacies of Power BI, where you'll acquire the skills to effectively visualize, analyze, and share actionable insights derived from your data. Through a combination of theoretical knowledge and practical application, you'll gain the ability to transform raw data into meaningful stories that drive informed decision-making.
What you'll learn
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Technical Proficiency
- Gain a solid foundation in Microsoft Excel, including essential functions, formulas, and data manipulation techniques.
- Master the advanced features of Power BI, such as data modeling, DAX (Data Analysis Expressions), and creating interactive dashboards.
- Discover industry best practices for data cleaning, preparation, and analysis to ensure data accuracy and reliability.
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Analytical Skills
- Learn how to effectively visualize and communicate data-driven insights through compelling visualizations and narratives.
- Understand data storytelling and create engaging presentations that effectively convey key findings.
- Apply advanced analytics techniques to solve real-world business problems and uncover valuable insights.
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Business Application
- Work on practical projects and case studies to apply your knowledge and gain hands-on experience.
- Implement data-driven solutions to address specific business challenges and improve decision-making.
- Leverage Power BI to support strategic planning, performance analysis, and operational efficiency
Earn a MGrow Career Certificate
Add this credential to your LinkedIn profile, resume, or CV.
Who will it Benefit?
What will You Get?
- Gain knowledge of the systematic problem-solving process and steps.
- Learn how the basics and intermediate levels of Power BI.
- How to work on large projects
- Research and improve your coding
- Course Completion Certificate
Course Outline
Introduction to Data
Descriptive Statistics I
Learn data types, measures of center, and the basics of mathematical notation
Descriptive Statistics II
Learn a common visual method for quantitative data, measures of spread, and the difference between descriptive and inferential statistics
Spreadsheets: Introduction
- Learn about the keys steps of the data analysis process.
- Use cell referencing and menu shortcuts
Spreadsheets: Manipulate Data
- Sort and filter data.
- Use text and math functions.
- Split columns and remove duplicates
Spreadsheets: Analyze Data
- Summarize data with aggregation and conditional functions.
- Use pivot tables and lookup functions.
Spreadsheets: Visualize Data
- Build data visualizations for quantitative and categorical data.
- Create pie, bar, line, scatter, histogram, and boxplot charts.
- Build professional presentations.
Metrics
- Become familiar with business metrics used by business analysts in the area of marketing, sales, growth, engagement, and financial analysis.
- Calculate and interpret key performance metrics.
- Calculate metrics and create plots to visualize metrics in Excel.
Excel Modelling
- Understand the fundamentals of sales and financial forecasting models.
- Create forecasting models using advanced lookup and data validation tools (INDEX, MATCH, OFFSET) in Excel.
Data Visualization & Analysis withPower BI
Welcome to CreatingVisualizations with MicrosoftPower BI
- Describe the learning objective of the course.
- Explain why data visualization is important for business intelligence.
- Identify the main stakeholders that BI analysts interact with.
- Identify when data visualization is useful and when it is not.
Building Compelling Data Visualizations
- Identify important business metrics and pair them with appropriate data visuals.
- Build common data visuals, including bar charts and line charts.
- Design complementary visuals, including cards, donut charts, and tables.
- Build more complex data visuals, including scatter plots and bubble maps.
- Recognize standard formatting options for Microsoft Power BI visuals and navigate the unique formatting features that vary between visuals.
Designing User-FriendlyReports
- Customize Microsoft Power BI themes with unique color palettes.
- Insert elements like images, shapes, and buttons to create compelling and versatile layouts for their reports.
- Apply design principles that reduce noise and highlight data stories.
- Maximize accessibility for diverse user groups.
Creating Interactive Reports for Data Exploration
- Design visuals that interact with one another and help users explore data by filtering and drilling for insights.
- Identify the differences between filters and slicers in a Microsoft Power BI report, including when to use each and differences in functionality.
- Apply filters to data visuals, pages, and reports.
- Customize the filter pane for reporting needs.
- Help users explore the data with different types of slicers.
Elevating Reports with Advanced Report Features
- Customize Microsoft Power BI reports in ways that foster interactivity and help users tell compelling data stories.
- Build custom data stories with Microsoft Power BI bookmarks.
- Empower users with navigation buttons.
- Design drill-through pages for deep-dive analysis
Testimonials from our Students
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Deepak Sharma - Sr. Data Scientist
The Advanced Data Science Certification course has been a transformative experience for me. It provided a comprehensive understanding of advanced data science concepts and techniques. The practical exercises and real-world case studies helped me apply my learning to complex data problems. I highly recommend this course to aspiring data scientists.
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Aisha Khan - Data Analyst
Enrolling in the Advanced Data Science Certification course was a turning point in my career. The course curriculum was well-structured, covering advanced statistical analysis, machine learning algorithms, and data visualization techniques. The mentor's guidance and the opportunity to work on real-world projects enhanced my practical skills significantly.
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Siddharth Patel - AI Researcher
The Advanced Data Science Certification course exceeded my expectations. It delved into cutting-edge data science techniques, including deep learning and natural language processing. The hands-on approach and practical exercises helped me gain confidence in applying these techniques to real-world data sets. This course is a must for aspiring data scientists.
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Priya Verma - Data Engineer
The Advanced Data Science Certification course provided me with a solid foundation in data engineering and advanced analytics. It covered a wide range of topics, including data preprocessing, feature engineering, and model evaluation. The course materials and the mentor's expertise were instrumental in enhancing my data engineering skills.
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Arjun Gupta - Business Analyst
The Advanced Data Science Certification course has been a game-changer for me. It equipped me with the necessary skills to extract valuable insights from complex data sets. The course's focus on data visualization and storytelling helped me effectively communicate data-driven insights to stakeholders. I highly recommend this course to aspiring data professionals.
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Sunita Singh - Data Science Consultant
I cannot thank the Advanced Data Science Certification course enough for the knowledge and skills it provided. The course covered advanced topics such as ensemble learning, anomaly detection, and recommendation systems. The mentor's expertise and the practical projects allowed me to dive deep into these topics and expand my data science toolkit.
What do I need to know about this course
What are the benefits of this course?
This course can help you develop expertise in one of the most promising and rapidly growing technological fields. It can also help you enhance your career prospects, increase your earning potential, and open up new opportunities for innovation and entrepreneurship.
What will I learn in a Data Science Using Python course?
In this course , you will learn various techniques for data manipulation, visualisation, and analysis using Python programming. You will also learn to use popular Python libraries such as NumPy, Pandas, and more.
What are the prerequisites for learning this course?
You should understand Python programming and mathematics, including statistics and linear algebra, to learn this program.
What type of assignments will I need to complete this course?
Assignments depend on the curriculum, but typically, you will be required to complete quizzes, case studies, and projects to demonstrate your understanding of the course.
How long will an internship program take to complete?
The length of the program can vary depending on the program's depth and intensity. There is no fixed date to complete it, but after completing the course, you will be eligible for the internship.
What is the time scheduled for 1:1 mentorship?
It will be as per the availability of our Expert's and your calendars. We recommend to do it as soon as possible as you can get the maximum out of the Mentor
Is there any support available if I have questions or issues with the course?
You can always opt for Mentorship + Course option to get exclusive 1 hour session with the mentor
What is the cost of the course?
The cost of the course varies depending on the type of course and mentorship model