The Best Python Boot Camps for 2025
Explore the best Python boot camps in 2025, including the features of each and how they stack up against traditional learning options.
January 14, 2025
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This course is part of Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau Specialization
Instructor: Packt - Course Instructors
Included with
Recommended experience
Intermediate level
Basic Excel skills and familiarity with data analysis concepts are recommended. Ideal for business professionals and analysts.
Recommended experience
Intermediate level
Basic Excel skills and familiarity with data analysis concepts are recommended. Ideal for business professionals and analysts.
Transform raw data using Power Query and Power Pivot for streamlined data preparation
Build and manage relationships in data models to enhance analytical capabilities
Design interactive Power BI dashboards with advanced visualizations and KPIs
Write and apply DAX expressions to calculate metrics and perform complex analyses
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February 2025
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Master the art of transforming raw data into actionable insights with Power BI. This course equips you with the skills to leverage Power Query and Power Pivot for efficient data preparation, build robust data models, and write powerful DAX formulas for advanced analytics. You'll also learn to create interactive dashboards, reports, and visualizations that effectively communicate your insights.
Beginning with the fundamentals of Power Query and Power Pivot, you’ll explore essential techniques such as data transformation, unpivoting columns, merging queries, and creating dynamic models. The course also delves deep into DAX expressions, teaching you how to compute metrics, manage relationships, and perform advanced calculations like year-over-year comparisons and percentages. As you advance, you’ll use Power BI to design impactful dashboards and reports. You'll gain hands-on experience with mapping visuals, KPIs, and conditional formatting. Practical exercises throughout the course ensure you can apply your knowledge, from creating pivot tables to crafting professional-grade reports and publishing them using the Power BI service. This course is ideal for aspiring analysts, business professionals, and data enthusiasts. Basic familiarity with Excel is recommended. Whether you’re a beginner or have intermediate experience, you’ll acquire the essential skills needed to thrive in data-driven roles.
In this module, we will explore the foundational concepts of Power Pivot and Power Query, tools that enable advanced data modeling and transformation within Excel. Through this introduction, you will gain an understanding of their capabilities and how they integrate to support data analysis processes.
3 videos2 readings1 assignment
In this module, we will delve into Power Query, starting with its editor interface and progressing to practical data transformations. You will learn to connect to various data sources, edit queries, and consolidate information effectively for analysis.
8 videos1 assignment
In this module, we will expand on Power Query features to handle more complex data manipulation tasks. Topics include unpivoting, merging, and aggregating data, along with conditional column creation. Hands-on exercises will reinforce your learning.
8 videos1 assignment
In this module, we will focus on creating a robust data model using Power Pivot. You will learn to create and manage table relationships, generate pivot tables, and optimize your model for seamless data analysis.
8 videos1 assignment
In this module, we will introduce DAX, a powerful language for creating calculated fields in Power BI and Power Pivot. You’ll learn to use DAX functions like COUNTROWS, SUMX, and RELATED to perform data analysis.
6 videos1 assignment
In this module, we will build upon DAX basics, exploring advanced calculations and measures to enhance your data analysis skills. Topics include creating date tables, calculating percentages, and advanced aggregation techniques.
6 videos1 assignment
In this module, we will master the art of creating interactive reports using pivot tables and slicers. You’ll learn to build pivot tables, filter data dynamically, and highlight top-performing categories.
4 videos1 assignment
In this module, we will recap the core functionalities of Power Pivot, Power Query, and DAX. This summary will solidify your understanding and provide context for their combined use in data preparation and modeling.
In this module, we will introduce Power BI, covering its desktop application, installation, and interface. You’ll gain insights into its functionality and how it enables professional data visualization and reporting.
5 videos1 assignment
In this module, we will focus on retrieving and transforming data in Power BI. You’ll learn to connect to various data sources, perform query manipulations, and structure data efficiently for further analysis and visualization.
6 videos1 assignment
In this module, we will dive into data modeling within Power BI, exploring table relationships, date column creation, and field management. These skills will help you prepare a well-structured model for accurate data analysis and reporting.
7 videos1 assignment
In this module, we will introduce DAX measures and their application in Power BI. Through hands-on examples, you will learn to calculate metrics like revenue, row counts, and year-over-year changes to extract actionable insights.
6 videos1 assignment
In this module, we will explore the visualization tools in Power BI, learning to create and customize charts, cards, and slicers. You’ll also practice building dynamic visuals that highlight trends, details, and performance indicators.
9 videos1 assignment
In this module, we will focus on designing visually appealing Power BI reports. You’ll learn to use formatting tools, add thematic consistency, and highlight critical insights to make your reports impactful
4 videos1 assignment
In this module, we will refine the interactivity of Power BI reports by editing visualization interactions and using filters. You’ll also explore drill-through functionality to navigate hierarchical data effectively.
4 videos1 assignment
In this module, we will transition from desktop to cloud by publishing reports to the Power BI Service. You’ll learn how to share reports and manage them within your organization’s workspace for collaborative insights.
3 videos1 assignment
In this module, we will conclude the course by reviewing the essential concepts of Power BI. This summary will reinforce your understanding of data transformation, modeling, and visualization to prepare you for practical applications.
1 video1 reading1 assignment
Packt helps tech professionals put software to work by distilling and sharing the working knowledge of their peers. Packt is an established global technical learning content provider, founded in Birmingham, UK, with over twenty years of experience delivering premium, rich content from groundbreaking authors on a wide range of emerging and popular technologies.
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Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.
This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.
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Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.