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Edureka

This course is designed for professionals who want to practice projects that follow industry standards. The course consists of two projects, one of which deals with designing databases in Snowflake and connecting them with Power BI for analysis, and the other focuses on managing inventory and forecasting trends, which assist in decision-making.

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This course is designed for professionals who want to practice projects that follow industry standards. The course consists of two projects, one of which deals with designing databases in Snowflake and connecting them with Power BI for analysis, and the other focuses on managing inventory and forecasting trends, which assist in decision-making.

By the end of this course, you will be able to:

1. Explain Snowflake cloud Data Platform

2. Demonstrate the use of the Snowflake platform to store and manage data

3. Apply Power BI Service features to elevate the quality of your Reports and implement Dashboards

4. Create Paginated Reports and Dashboards on Power BI Service, utilizing its prevalent features

This long course is designed for Data Analyst, Data Administrator, and Business Analyst seeking to enhance their analytical and design skills.

Prior experience with MS Excel and SQL is beneficial but not mandatory for this course.

Join us on this journey to enhance your decision making skills and elevate your analytical and design capabilities.

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What's inside

Syllabus

Data insights in Power BI Project
Welcome to Power BI Capstone Projects. In this module, we will understand the capabilities of Snowflake and Power BI analytics features. The two projects are designed to assimilate learners and give more detailed information on the features that make Power BI a powerful tool in data analysis. The first project is designed to manipulate data in Snowflake and integrating it with Power BI. The second project analyzes the store data to increase it's profitability.
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Course Wrap-Up and Assessment
This module is designed to assess an individual on the various concepts and teachings covered in this course. Answer a comprehensive quiz which marks you as a learner who is confident in working with Power BI.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Strengthens existing knowledge in Power BI Service
Develops skills in data insights and design, which are core to data analysis
Taught by industry professionals, Edureka, who are widely recognized for their expertise in data analysis
Provides hands-on projects that follow industry standards, ensuring practical relevance
Requires MS Excel and SQL knowledge, albeit not mandatory, which may be a barrier for some learners

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Power BI Capstone Project with these activities:
Refresh your SQL skills
Ensure a strong foundation in SQL to support your learning in this course.
Browse courses on Structured Query Language
Show steps
  • Review key SQL concepts and syntax.
  • Practice writing SQL queries to manipulate and retrieve data.
  • Complete online exercises or quizzes to test your understanding.
Form a study group with peers
Deepen your understanding and retention by engaging in discussions and problem-solving with peers.
Browse courses on Collaborative Learning
Show steps
  • Identify peers who are interested in forming a study group.
  • Set regular meeting times and establish clear goals for your study sessions.
  • Review course materials together, discuss concepts, and work on assignments collaboratively.
Find a Course Mentor
Find a course mentor who can answer your questions and provide guidance.
Show steps
  • Ask your instructor or classmates for recommendations.
  • Reach out to potential mentors and ask if they are willing to help.
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Join a Study Group for Snowflake and Power BI
Engage with peers in a study group to discuss concepts, share knowledge, and support each other's learning.
Show steps
  • Find or organize a study group with other students taking the course
  • Establish meeting times and study topics
  • Share your understanding of concepts and solve problems together
  • Provide feedback and support to other members
  • Stay engaged and participate actively in the study group
Learn SQL Commands
Practice writing SQL commands to manipulate and retrieve data from a database.
Show steps
  • Review the basics of SQL syntax.
  • Write queries to select data from tables.
  • Write queries to filter data.
  • Write queries to sort data.
Follow a Snowflake Tutorial
Follow a tutorial to learn how to use Snowflake to store and manage data.
Show steps
  • Find a Snowflake tutorial that covers the basics.
  • Follow the steps in the tutorial.
  • Create a Snowflake account and follow the tutorial again.
Join a Study Group
Join a study group to discuss course material and collaborate on projects.
Show steps
  • Find a study group that meets your schedule and learning style.
  • Attend study group meetings regularly.
  • Participate in discussions and ask questions.
  • Work with other group members to complete projects and assignments.
Practice SQL Queries in Snowflake
Reinforce your understanding of SQL syntax and Snowflake's features by practicing queries and solving data manipulation problems.
Browse courses on SQL
Show steps
  • Review SQL basics and Snowflake syntax
  • Create a Snowflake account and connect to it
  • Execute basic SQL queries to retrieve and manipulate data
  • Explore Snowflake's features, such as UDFs and table functions
  • Solve data manipulation problems using SQL queries
Follow Power BI Tutorials on Data Visualization
Enhance your data visualization skills by following guided tutorials that cover best practices, chart types, and interactive dashboards in Power BI.
Browse courses on Power BI
Show steps
  • Find Power BI tutorials from Microsoft or reputable sources
  • Follow the tutorials step-by-step to create visualizations
  • Experiment with different chart types and design options
  • Create interactive dashboards that effectively communicate insights
  • Review and refine your visualizations based on user feedback
Try out the features of Snowflake and Power BI
This activity consolidates foundational knowledge and dexterity in utilizing Snowflake and Power BI significantly.
Show steps
  • Explore the Snowflake platform's features and functionalities.
  • Load and manage data in Snowflake.
  • Connect Snowflake to Power BI.
  • Visualize data using Power BI's features.
Design a Snowflake Database
Design a Snowflake database for a specific scenario or use case.
Browse courses on Data Warehousing
Show steps
  • Identify the business requirements for the database.
  • Determine the data that will be stored in the database.
  • Design the tables and columns in the database.
  • Create the database and load the data.
  • Test the database to ensure that it meets the business requirements.
Write a Blog Post on Data Integration Techniques
Demonstrate your understanding of data integration techniques by writing a blog post that covers different approaches, tools, and best practices for efficiently combining data from multiple sources.
Browse courses on Data Integration
Show steps
  • Research and gather information on data integration techniques
  • Choose a specific topic or case study to focus on
  • Outline the key points and structure of your blog post
  • Write a compelling introduction that captures readers' attention
  • Develop the body of the post, explaining different techniques and providing examples
  • Conclude with a summary of key takeaways and recommendations
Develop a Data Analysis Dashboard for a Business Case
Apply your knowledge of data analysis and visualization to create a dashboard that addresses a real-world business problem, providing insights and recommendations.
Browse courses on Data Analysis
Show steps
  • Identify a specific business case or problem to solve
  • Gather and analyze relevant data
  • Design and develop a Power BI dashboard that visualizes key metrics and insights
  • Interpret the results and draw actionable conclusions
  • Present your findings and recommendations to stakeholders
Attend a workshop on advanced Power BI techniques
Expand your knowledge and skills in Power BI through a structured workshop led by industry experts.
Show steps
  • Research and identify a reputable workshop that aligns with your learning objectives.
  • Register for the workshop and ensure you have the necessary prerequisites.
  • Attend the workshop and actively participate in discussions and exercises.
  • Apply the techniques and knowledge gained in your own projects.

Career center

Learners who complete Power BI Capstone Project will develop knowledge and skills that may be useful to these careers:
Data Analyst
With an emphasis on the data analytics process, the Data Analyst is responsible for gathering and analyzing datasets to help make business decisions. Through applications like Power BI, individuals in this role are able to more easily assemble visual representations of data collected, both at a surface level and across advanced dimensions.
Business Analyst
Business Analysts may use tools such as Power BI to bridge the gap between business users and IT, translating business requirements into technical specifications. The ability to analyze and visualize data in this role is key to presenting well-informed recommendations to key decision-makers.
Data Scientist
Data Scientists often rely on tools like Power BI to visualize their data, quickly assemble presentations, and share insights with both technical and nontechnical stakeholders. The interface of Power BI also facilitates the collaboration of this role with other team members.
Database Administrator
In addition to general database administration, professionals in this role may have some involvement in data analytics, using tools such as Power BI to assemble dashboards and reports that allow their organizations to track KPIs and monitor progress towards goals.
Data Visualization Engineer
Data Visualization Engineers may use tools such as Power BI to create visually appealing and informative representations of data, such as charts, graphs, dashboards, and interactive visualizations. This can be a valuable skill for effective storytelling and communicating complex or technical data in a way that is easy to understand and interpret.
Management Analyst
Management Analysts may utilize data analytics platforms like Power BI to collect and process large amounts of data, and develop insights that help organizations optimize their performance.
Marketing Analyst
Marketing Analysts use data analytics tools like Power BI to analyze marketing campaign performance, customer behavior, and market trends. This information helps them develop and implement effective marketing strategies.
Financial Analyst
Financial Analysts use data analytics tools like Power BI to analyze financial data and make informed investment decisions. They may also use Power BI to create reports and presentations to communicate their findings to clients.
Operations Research Analyst
Operations Research Analysts use data analytics tools like Power BI to collect and analyze data to help organizations improve their operations. They may also use Power BI to develop simulation models and optimization algorithms to assist in decision-making.
Process Analyst
Process Analysts may use data analytics tools like Power BI to analyze data and identify inefficiencies and improvement opportunities in business processes. They may also use Power BI to create visualizations and reports to communicate their findings to stakeholders.
Systems Analyst
Systems Analysts use data analytics tools like Power BI to gather and analyze data to improve the efficiency and effectiveness of information systems. They may also use Power BI to develop and implement solutions to technical problems.
Information Security Analyst
Information Security Analysts may use data analytics tools like Power BI to analyze data to identify security threats and vulnerabilities. They may also use Power BI to create reports and presentations to communicate their findings to stakeholders.
Data Warehouse Architect
Data Warehouse Architects may use data analytics tools like Power BI to design and implement data warehouses. They may also use Power BI to analyze data and develop reports to help stakeholders understand the data in the warehouse.
Project Manager
Project Managers may use data analytics tools like Power BI to track project progress and identify potential risks. They may also use Power BI to create reports and presentations to communicate project status to stakeholders.
Web Developer
Web Developers may use data analytics tools like Power BI to analyze website traffic and user behavior. They may also use Power BI to create visualizations and reports to communicate their findings to stakeholders.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Power BI Capstone Project.
Complements the course's focus on Power BI by providing a comprehensive overview of the platform's functionalities, including data preparation, data modeling, data visualization, and report creation.
Offers a deeper dive into Power BI's advanced features, such as dataflows, DirectQuery, and Power Query M language, providing additional knowledge and skills beyond the scope of the course.
Offers a broader perspective on data science, covering topics such as data mining, machine learning, and data visualization, which are relevant to the course's focus on data analysis and reporting.
Provides a comprehensive guide to creating dashboards and reports in Power BI. It valuable resource for anyone who wants to learn more about Power BI or use it for data analysis.
Provides a valuable resource for those seeking to expand their data analysis skills by leveraging Python, a popular programming language for data manipulation and visualization.
Provides a foundational understanding of data warehouse design and dimensional modeling, which are important concepts for efficiently managing and analyzing large datasets in Snowflake.
Provides a step-by-step guide to Power BI, including how to use it to connect to data sources, create visualizations, and build reports and dashboards. It valuable resource for anyone who wants to learn more about Power BI or use it for data analysis.

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