For Individuals
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  • DSS program: 11 total courses, 8 required to earn DSS certificate
  • Self-paced & 100% online
  • Get full Data Science program, community & more with a CFI membership
  • Get this program and CFI's full training catalog for your organization
  • Manage learning, create custom paths, & measure progress
  • For teams of 2 or more learners

The Data Science Analyst Certificate Program at a Glance

CFI’s Data Science Analyst (DSA) Certificate Program equips you with practical, real-world data science skills, focused on data analysis in Python and R—as well as the building, evaluation, and interpretation of machine learning models using classification and regression. Take DSA Certification courses at your own pace, from anywhere and gain the skills and confidence to excel in high-paying careers as a Data Scientist, Data Analyst, or Financial Analyst.

Program Overview

11 courses

8 required courses

24 Hours

Average completion time

Receive a Certificate

To verify your skills

500,000+ 5-star ratings

Best-in-class training, as rated by you

Our Learners Work At:

Earning your Data Science Certificate

This specialization consists of hands-on courses delivering practical, real-world data science skills, focused on data analysis in Python and R—as well as the building, evaluation, and interpretation of machine learning models using classification and regression.

Prep Courses (Optional)

For beginners or those seeking a refresher, 1 optional prep courses cover the fundamentals.

Data Science & Machine Learning Fundamentals
4.9 (383 Ratings)
Level 2
4 hours
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Core Courses

Complete 6 required core courses to build your skill set in Data Science Analyst Specialization.

Statistics Fundamentals
4.9 (344 Ratings)
Level 2
3 hours
Python Fundamentals
4.9 (79 Ratings)
Level 4
5.5 hours
Python Fundamentals Case Study
4.5 (2 Ratings)
Level 4
2.5 hours
Regression Analysis - Fundamentals & Practical Applications
4.9 (78 Ratings)
Level 4
6.5 hours
Classification - Fundamentals & Practical Applications
5 (61 Ratings)
Level 4
2.5 hours
Data Prep for Machine Learning in Python
5 (4 Ratings)
Level 4
8 hours
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Elective Courses

Choose a minimum of 2 electives (out of 4 available) to master more advanced topics and specialized areas.

Modeling Risk with Monte Carlo Simulation
5 (74 Ratings)
Level 4
4 hours
R Fundamentals
5 (10 Ratings)
Level 4
7.5 hours
Bayesian Thinking
5 (6 Ratings)
Level 5
3 hours
Loan Default Prediction with Machine Learning
5 (69 Ratings)
Level 5
8 hours
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Why Get A Data Science Certificate?

Data scientists earn $112K to $174K per year in the US (Glassdoor September 2023), 2.5 to 4 times higher than the average earnings in other fields. Moreover, Data Science is a rapidly growing profession, with thousands of new roles opening up each year (US Bureau of Labor Statistics).

Upon completion, you’ll receive a shareable blockchain digital certificate in Data Science. You can also order a physical certificate to be mailed to your door.

Data Science Analyst Certificate Skills & Learning Objectives

Predictive Analysis

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  • Learn common machine learning methods for making predictions
  • Interpret and understand the results of machine learning models
  • Examine key property valuation metrics and how they relate to the credit analysis process
  • Model uncertainty using Monte Carlo simulation


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  • Learn to describe data using meaningful statistics
  • Identify significant trends and patterns in data set
  • Prove or disprove a hypothesis about data
  • Learn the fundamental Python tricks and commands
  • Import, model, apply analysis tools, and visualize your data directly using Python
  • Explore other popular languages such as R (Optional)

Taught by Industry Experts

Sebastian Taylor

Sebastian leads our BIDA® program, and has worked with a variety of BI tools across a number of industries. From quant energy risk management to financial and retail analysis, Seb loves the challenge of automating and communicating complex analysis with simplicity and clarity.

Andrew Russell

Andrew has extensive experience as a software engineer. His involvement in developing bespoke applications across many different organizations has led to expertise in a variety of programming languages and frameworks.

Joseph Yeates

Joseph is passionate about driving better decision making by creating, curating, and communicating insights from data. He has a degree in Business Administration and Finance, with further certifications in Business Analytics & Decision Making and Applied Database Administration & Design.

John Lee

John is an advocate of using analytics to drive decision making. He has a degree in Business Administration - Management Information Systems as well as a diploma in Data Science.

Lester Leong

Over the course of the years, Lester Leong has been applying data science and machine learning towards business and finance to improve profitability, efficiency, and model interpretability.

Explore Your Career Options with Data Science Certificate Program

  • Data Analyst

    Data Analysts analyze data from diverse sources, employing Business Intelligence and data science techniques to understand trends and performance.
  • Data Science Analyst

    Business Intelligence specialists excel in SQL, Data Visualization, and essential data science skills for tasks like forecasting and handling missing data.
  • Finance Analyst

    Successful finance analysts are skilled in data handling, collaborating with data scientists, and interpreting basic models effectively.
  • Data Scientist

    Data Scientists leverage Python, R, and SQL for intricate data analysis and predictive modeling.

What Our Students Say

The course provides a solid foundation in key concepts, techniques, and tools used in data science and machine learning, including statistical analysis, data visualization, regression, classification, and clustering algorithms.

Guy Adjokpota

Made me love Machine Learning so much more. Now I can kick start my career intent of developing skills in Finance Machine Learning! Thanks so much CFI.

Joshua Adesoji

I really enjoyed this course as a person with no coding background to really understand topics in Data Science and Machine learning.

Junho Kim

I love everything about the lessons, interactive exercises, and case demonstrations. It helps me deeply understand the topics.

Lemuel Ebona

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Frequently Asked Questions

Will these courses help me advance my career?

Reviews from learners who have taken CFI courses include numerous stories about how people have been able to advance their careers. There is a proven track record of CFI graduates marking successful transitions into the careers of their dreams and this is based largely on the resources that we make available to our learners upon enrolment. Our training is designed to be fully practical and simulates the experience of being trained as a professional financial analyst. Additionally, we offer a wealth of information through our free career resources. The unique blend of all these elements is what sets us apart from other e-learning platforms when it comes to giving you all the tools you need to create a successful career in finance.

Admission Requirements

No pre-requisites or prior experience are necessary. To take the courses and complete the exercises, learners will only need access to a PC and Microsoft Suite (2016 or newer), and a stable internet connection.

What is the duration of the program?

It takes an average of 20-30 hours to complete the entire program. However, you are given the freedom to complete all of the training at your own pace! Please see the “What You’ll Learn” section for recommended study hours for each course to give you a better idea for your time management.

How much time do I have to complete the courses?

Take as much time as you need. You will have access to all courses and all future upgrades in your subscription. You can review the video lessons as many times as you like and complete the courses at a pace that is most convenient for you. All of the required courses, resources, and assessments to obtain the certifications will be provided, for as long as your subscription is active.

How are the exams conducted?

Learners are required to complete an online assessment (MCQ’s, Fill-in-the-Blanks, and Excel Questions) at the end of each course. You can take the exams at your own schedule and will need to earn at least 80% to pass the course and earn your certificate of course completion. Please note that course exams can be repeated as many times as you need.

Can I download and edit the course material and templates?

Yes! You can download the resources included in your courses. All of the files needed in a course are available for download. Please note that while our study materials can be downloaded, the lecture videos are only available online due to copyright infringement issues.

How do I earn my certificates?

You need to complete all the video lessons, quizzes, and final assessments in each course to earn your course certificates. The certificate will then be available on your learner dashboard and also emailed to you as soon as you have completed all of the requirements.

What currency are your courses priced in?

All of our online courses and programs are priced in USD.

What payment methods do you accept?

As this is a recurring payment, we accept all major credit and debit cards including Visa, MasterCard, and American Express.

Are there any additional fees or costs?

None! The program tuition includes everything and there are no additional fees required to earn your digital certification.

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