Cloudera - CCP Data Scientist



Only 4 Days



Classroom / Online / Hybrid

Next date

Next date:

26/9/2022 (Monday)


Learn how to build production-ready data science solutions in real-world conditions on this accelerated 3-day CCP Data Scientist course.

Get immersed in data science on this accelerated Firebrand course. You’ll get the knowledge you need to extract features from huge data sets stored in a wide variety of formats, like JSON, XML and graph link data. You’ll also learn how to perform complex statistical calculations and build a model that contains relevant features for your solution.

Become a Cloudera Certified Professional, in just 3 days, and join an elite group of data scientists. On this accelerated CCP Data Scientist course, you’ll also learn how to:

  • Define relevant data groupings and assign data records
  • Apply advanced analytical techniques, like network graph analysis
  • Use data validation techniques to determine algorithm success

You’ll take the following three CCP Data Science exams as part of your accelerated course:

  • DS700 - Descriptive and Inferential Statistics on Big Data
  • DS701 - Advanced Analytical Techniques on Big Data
  • DS702 - Machine Learning at Scale

These exams are covered by your Certification Guarantee.


Seven reasons why you should sit your course with Firebrand Training

  1. Two options of training. Choose between residential classroom-based, or online courses
  2. You'll be certified fast. With us, you’ll be trained in record time
  3. Our course is all-inclusive. A one-off fee covers all course materials, exams**, accommodation* and meals*. No hidden extras.
  4. Pass first time or train again for free. This is our guarantee. We’re confident you’ll pass your course first time. But if not, come back within a year and only pay for accommodation, exams and incidental costs
  5. You’ll learn more. A day with a traditional training provider generally runs from 9am – 5pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day quality learning time, with your instructor
  6. You’ll learn faster. Chances are, you’ll have a different learning style to those around you. We combine visual, auditory and tactile styles to deliver the material in a way that ensures you will learn faster and more easily
  7. You’ll be studying with the best. We’ve been named in Training Industry’s “Top 20 IT Training Companies of the Year” every year since 2010. As well as winning many more awards, we’ve trained and certified over 100,000 professionals
  • * For residential training only. Doesn't apply for online courses
  • ** Some exceptions apply. Please refer to the Exam Track or speak with our experts


Common skills

  • Extract relevant features from a large data set that may contain bad records, partial records, errors or other forms of noise
  • Extract features from data stored in a wide range of possible formats, including JSON, XML, raw text logs, industry-specific encodings and graph link data

DS700 - Descriptive and inferential statistics on big data

  • Use statistical tests to determine confidence for a hypothesis
  • Calculate common summary statistics, like mean, variance and counts
  • Fit a distribution to a data set and use that distribution to predict event likelihoods
  • Perform complex statistical calculations on a large dataset

DS701 - Advanced analytical techniques on big data

  • Build a model that contains relevant features from a large dataset
  • Define relevant data groupings, including number, size, and characteristics
  • Assign data records from a large dataset into a defined set of data groupings
  • Evaluate ‘goodness of fit’ for a given set of data groupings and a dataset
  • Apply advanced analytical techniques, such as network graph analysis or outlier detection

DS702 - Machine learning at scale

  • Build a model that contains relevant features from a large dataset
  • Predict labels for an unlabelled data set using a labelled dataset for reference
  • Select a classification algorithm that is appropriate for the given dataset
  • Tune algorithm metaparameters to maximise algorithm performance
  • Validation techniques to determine the successfulness of an algorithm for a given dataset

Exam Track

You'll sit the following exams at the Firebrand Training Centre, covered by your Certification Guarantee:

  • DS700 - Descriptive and Inferential Statistics on Big Data
  • DS701 - Advanced Analytical Techniques on Big Data
  • DS702 - Machine Learning at Scale

Each exam is a single challenge scenario, which you can solve using a choice of data analysis tools and languages. You will be given access to the scenario, data sets and the cluster. You have eight hours in which to complete the challenge.

Exams may be taken in any order and all three exams must be passed within 365 days of each other.

What's Included

Your accelerated course includes:

  • Accommodation *
  • Meals, unlimited snacks, beverages, tea and coffee *
  • On-site exams **
  • Exam vouchers **
  • Practice tests **
  • Certification Guarantee ***
  • Courseware
  • Up-to 12 hours of instructor-led training each day
  • 24-hour lab access
  • Digital courseware **
  • * For residential training only. Doesn't apply for online courses
  • ** Some exceptions apply. Please refer to the Exam Track or speak with our experts
  • *** Pass first time or train again free (just pay for accommodation, exams and incidental costs)


You should possess:

  • Experience with big data tools (like Hadoop, Python & R)
  • Knowledge of data science topics
  • A high-level ability to solve real data science problems

Unsure whether you meet the prerequisites? Don’t worry. Your training consultant will discuss your background with you to understand if this course is right for you.


Here's the Firebrand Training review section. Since 2001 we've trained exactly 124229 students and asked them all to review our Accelerated Learning. Currently, 96.62% have said Firebrand exceeded their expectations.

Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.

"Knowledgeable instructor with lots of experience, using real world examples to make it relatable and focused."
Caroline Yardley. (26/4/2022 (Tuesday) to 29/4/2022 (Friday))

"Intense, clear and lots of fun. Highly recommend."
Anonymous. (26/4/2022 (Tuesday) to 29/4/2022 (Friday))

"Intense, clear and lots of fun, highly recommend."
Anonymous. (26/4/2022 (Tuesday) to 29/4/2022 (Friday))

"The instructor did a good work in delivering the material. Very helpful and willing to go the extra mile to support the students."
KB. (25/4/2022 (Monday) to 30/4/2022 (Saturday))

"It is was proper challenge, but the instructor provided the content with a flamboyant and upbeat style and despite the sometimes try nature of the material, the instructor was able to keep us all well engaged. Probably the best trainer I have had."
Michael Ross, NHS England. (25/4/2022 (Monday) to 30/4/2022 (Saturday))

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