Big Data Analysis and Advanced Data Science Course (3 Modules)

The Big Data Analysis & Advanced Data Science course is comprised of three modules that develop skills in contemporary Big Data analysis and analytics practices and advanced data science techniques and processes.

Each module has a set of lessons and is further supplemented with exercises and practice questions to help reinforce your understanding of key topics. Completing this course also prepares you for the official certification exam, as explained on the Big Data Scientist Certification page.

Further resources are available to assist you with the completion of this course and preparation for the certification exam. These include downloadable digital course PDFs, printed course materials that can be shipped to your location, as well as coaching and instructor-led training services available by Arcitura and its training partner network. You can purchase coaching time on an hourly basis and instructor-led training workshops are available for individuals and groups.

This course is available via two separate eLearning platforms, each of which has different features and benefits. Upon clicking the Enroll button, you will be able to choose the eLearning option that works best for you.

Contact [email protected] with any questions.

Program: Next-Gen Data Science Academy

Prerequisites: Big Data Analytics & Fundamental Data Science

Duration: 30 hours

Price: from $29

Corresponding Certification:
Big Data Scientist

Inquire About Instructor-Led Training for Your Team

Workbook Lessons

Video Lessons

Reference Posters

Interactive Exercises

Graded Self-Test

Completion Certificate

Course Modules

MODULE 04 | Big Data Analysis & Science
Provides comprehensive coverage of Big Data analysis algorithms, analytics, data mining and statistical techniques, as well as exploratory data analysis, confirmatory data analysis, visualization and predictions.

MODULE 05 | Advanced Big Data Analysis & Science
Covers the application of a range of essential and advanced analysis techniques, including modeling and model evaluation, data reduction, classification, pattern identification, time series analysis, text analytics and outlier detection.

MODULE 06 | Big Data Analysis & Science Lab
Provides a series of exercises and problems designed to test your ability to apply your knowledge of topics covered in previous course modules. Completing this lab will help highlight areas that require further attention and will further help prove proficiency in Big Data analysis and analytics techniques to fulfill business requirements and solve complex problems.