The 2022 Big Data Visualization Toolkit Bundle. Visualize Data Like a Pro with 7 Courses on Tableau, Alteryx, Python, R, Qlik Sense & More.
Data is everything — especially when it comes to making big decisions for businesses, the government, education, and more. If you’re looking to learn how to sort through raw data, it may be time to invest in some courses. The 2022 Big Data Visualization Toolkit Bundle brings you everything you need to get trained and develop valuable data visualization skills.
Now price-dropped to only $39, the super training bundle contains seven courses and nearly 300 lessons covering everything from Python to Qlik Sense. You’ll start by acquiring the fundamental elements required in training — an introduction to Python, data science, R Programming, and more — and work your way into advanced techniques that will ultimately allow you to create your own software applications.
Led by the industry experts at StreamSkill, a leading online learning hub that has trained over 1 million students in 180+ countries, each section is introduced with plenty of guidance and examples. Learn the essential analytical workflows to cut out repetitive tasks with Alteryx, Connect & manage data sources using Tableau, Know what R is & how it is used in data science, and so much more. With much information under your belt, you’ll soon be on your way to mastering advanced tech development programs and training that will help you manage each technical aspect while on the job.
With an impressive instructor rating of 4.89 out of 5 stars, the complete bundle contains over 35 hours of in-depth content available 24/7, helping you learn the leading data analyzing software at your own pace. With step-by-step, hands-on exercises, you’ll be able to take on each lesson and learn by doing.
While The 2022 Big Data Visualization Toolkit is regularly priced at $3,493, you’ll learn the in-demand platforms used in today’s tech world at only $39 — that’s only $5.57 per course! Develop new skills with these courses and start sorting and analyzing data like a pro.