CDAP: Certified Data Analyst Professional
- Learning Style: On Demand
- Learning Style: Official Exam Voucher
- Difficulty: Intermediate
- Course Duration: 5 Hours
- Course Info: Download PDF
- Certificate: See Sample
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Overview of CDAP
Data is everywhere today! To not take advantage of it is like having an arsenal and not being able to use it in a war. Let’s face it, the advent of digitalization has pushed modern organizations into a war of grabbing a customer’s attention, serving him with an experience, and retaining him to become a returning customer. All this can happen, only if you thoroughly study and understand your customer. This function of knowing your customers using data is what data analysts are responsible for. The “CDAP: Certified Data Analyst Professional” certification validates your skills as a knowledgeable data analyst, having a commendable grip on concepts, tools and techniques of reading, understanding, visualizing, creating, and presenting data into easily understandable stories. The course curriculum covers topics around stats, math, data engineering, visualization and much more, to make you an expert in aligning and analyzing large, scattered chunks of data and pulling out actionable insights from it.
Who Is This Cert Suitable For?
The certification is not for those who are planning to learn data analysis. If you have around a year or two of experience and have an overall idea of the basics of manipulating data and visualizing it, you should prepare for and take this certification exam to become a well-versed data analyst. The course curricula for this certification includes topics that can up your skillset by many folds, giving you that expert command on the functions, methodologies, disciplines, and techniques to play with data and use it to a business’s advantage.
Pre-requisites for the Cert Exam
The Data Analysis certification exam requires candidates planning to appear for it come with well learned fundamentals of statistics, reflecting a systematic exposure and comprehension of the principles. They must be hands-on in managing core pattern estimation problems. They will be expected to know techniques and methods and to work around dispersions and averages, permutations and combinations, and probability. In visualization, understanding of graphs, maps, histograms, and scatter plots development would help a lot in becoming friends with this certification curriculum.