CDAP - Certified Data Analytics Professional
- Learning Style: Virtual
- Learning Style: Certification
- Difficulty: Intermediate
- Course Duration: 3 Days
- Course Info: Download PDF
- Certificate: See Sample
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About this Course:
If you have a passion for playing with data, numbers and patterns to discover and share impactful stories that direct businesses’ decision making and ultimately, growth, this is the right certification for you.
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 “Certified Data Analytics 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 analysing large, scattered chunks of data and pulling out actionable insights from it.
The certification is not for those who are planning to learn data analysis. If you have 1 – 2 years of experience with data analysis and have grasp on the basics about manipulating data and visualizing it, you should prepare for and take this certification exam to become a Certified Data Analyst. The course curricula for this certification includes topics that can enhance your skillset by giving you the expert command on the functions, methodologies, disciplines and techniques to play with data and apply those skills to make critical data-driven business decisions.
The CDAP® 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.