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
Article
This course is part of Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau Specialization
Instructor: Packt - Course Instructors
Included with
Recommended experience
Intermediate level
Ideal for data enthusiasts, analysts, and professionals familiar with basic data handling and analysis. Beginners are welcome.
Recommended experience
Intermediate level
Ideal for data enthusiasts, analysts, and professionals familiar with basic data handling and analysis. Beginners are welcome.
Automate workflows and manipulate datasets using Alteryx Designer
Build dynamic dashboards and analyze data with Tableau and Qlik Sense
Develop statistical models and perform advanced analyses using R
Create compelling visual stories and publish data insights effectively
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February 2025
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Unlock the power of data with Data Analytics and Visualization with Tableau & More, a comprehensive course designed to transform you into a data-driven professional. From mastering the fundamentals of Alteryx workflows to advanced data visualizations in Tableau, this course offers hands-on learning to automate data processes, prepare datasets, and create compelling insights.
The journey begins with Alteryx, where you'll learn to clean, filter, and analyze data while automating workflows. You will then seamlessly transition into Qlik Sense, mastering data loading, chart creation, and advanced analysis techniques. Next, you'll dive into R programming to gain a deeper understanding of data manipulation, statistical analysis, and project implementation. Finally, Tableau will guide you in creating interactive dashboards, spatial charts, and publishing visual insights for impactful storytelling. This course is perfect for data enthusiasts, business analysts, and professionals seeking actionable skills in modern analytics tools. Prior experience in data handling is helpful but not mandatory. Whether you're a beginner or looking to refine your expertise, this course caters to all levels.
In this module, we will explore the basics of Alteryx, starting with its intuitive interface and essential tools. You'll learn how to build workflows, manage data types, and automate processes for faster and more accurate data preparation. This section also covers data cleansing, filtering, and combining techniques, along with tips for Excel and SQL analysts transitioning to Alteryx.
35 videos2 readings1 assignment
In this module, we will dive into Qlik Sense, starting with its interface and progressing to advanced visualization techniques. You'll learn how to load and manipulate data, build charts, and share insights effectively. Practical exercises and examples will help you master Qlik Sense features, from data aggregation to creating interactive dashboards.
35 videos1 assignment
In this module, we will introduce R programming, focusing on its role in data science. You'll learn to set up your workspace, work with data structures, and perform calculations using loops and functions. The section concludes with a hands-on mini-project to solidify your understanding and showcase your skills in analyzing and visualizing data.
71 videos1 assignment
In this module, we will delve into Tableau, starting from its interface to advanced visualization techniques. You'll learn to connect to data sources, build interactive dashboards, and create compelling data stories. Practical exercises will reinforce concepts such as expressions, analytical functions, and publishing workbooks for collaborative use.
33 videos1 reading2 assignments
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.