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  • DSS program: 12 total courses, 8 required to earn DSS certificate
  • Self-paced & 100% online
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The Data Science Analyst Certificate Program Overview

This certificate program also teaches you about data analysis in Python and R - as well as the building, evaluation, and interpretation of machine learning models using classification and regression. Take Data Science Analyst 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

12 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

Earning your Data Science Analyst Certificate

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

Step 1.

Prep Courses (Optional)

For beginners or those seeking a refresher, one optional prep course covers the fundamentals.

Data Science & Machine Learning Fundamentals
4.9 (380 Ratings)
2h 25min
2h 25min
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Step 2.

Core Courses

Complete 6 required core courses to build your skill set in data science analyst specialization.

Statistics Fundamentals
4.9 (355 Ratings)
1h 52min
1h 52min
Python Fundamentals
4.9 (89 Ratings)
3h 59min
3h 59min
Python Fundamentals Case Study
4.8 (10 Ratings)
45min
45min
Regression Analysis - Fundamentals & Practical Applications
4.9 (89 Ratings)
2h 29min
2h 29min
Classification - Fundamentals & Practical Applications
4.9 (66 Ratings)
1h 28min
1h 28min
Data Prep for Machine Learning in Python
5 (4 Ratings)
3h 27min
3h 27min
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Step 3.

Elective Courses

Choose a minimum of 2 electives (out of 5 available) to master more advanced topics and specialized areas.

Modeling Risk with Monte Carlo Simulation
5 (76 Ratings)
2h 5min
2h 5min
R Fundamentals
5 (10 Ratings)
2h 57min
2h 57min
Bayesian Thinking
5 (7 Ratings)
1h 27min
1h 27min
Loan Default Prediction with Machine Learning
5 (69 Ratings)
3h 56min
3h 56min
Graph Database Fundamentals
5 (8 Ratings)
2h 28min
2h 28min
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Why Get A Data Science Analyst Certificate?

Data scientists earn $112K to $174K per year in the US (Glassdoor September 2023). That's more than 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 completing your data science analyst certificate program, 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

Data Science Analyst Certificate Skills & Learning Objectives

1
36%
Predictive Analysis
2
36%
Statistics
3
28%
Coding
1
2
3
  1. 1.
    36%
    Predictive Analysis
  2. 2.
    36%
    Statistics
  3. 3.
    28%
    Coding

Predictive Analysis

  • 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

Statistics

  • Learn to describe data using meaningful statistics
  • Identify significant trends and patterns in data set
  • Prove or disprove a hypothesis about data

Coding

  • 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)

A Step by Step Approach to Building Your Data Skills

Excel data analysis course

1. Data Analysis in Excel

Master data analysis and work more efficiently using modern Excel tools including dynamic arrays, Power Query and Power Pivot.

2. BIDA Certification

Develop BI skills such as dashboarding and data manipulation using industry standard tools like Power BI, Tableau, and SQL.

3. Data Science Analyst

Go beyond descriptive analysis and learn how to work with complex datasets and predictive machine learning models.

Taught by Industry Experts

Sebastian Taylor

Sebastian Taylor

Seb started his career in risk management, managing the implementation and operations of quantitative energy hedging strategies. Having since worked in several different industries, from finance to retail and service, Seb’s business intelligence skills were developed within the realities of real-world business requirements.
Andrew Russell

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 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

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 a Data Science Analyst Certificate Program

Over 85% of executives, supervisors, and HR professionals agree that certified individuals bring value, gain credibility, and are seen as top performers.

  • Data Analyst

    Data Analyst

    Data analysts analyze data from diverse sources, employing business intelligence and data science techniques to understand trends and performance.
  • Data Science Analyst

    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

    Finance Analyst

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

    Data Scientist

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

Our Learners Work At:

What Our Students Say

Over 75% of CFI learners report improved productivity or competency within weeks.

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

Frequently Asked Questions

If you haven’t found your answer from our FAQ, please send us a message.

What is the Data Science Analyst program and who is it designed for?
The Data Science Analyst program is built to help you gain technical and analytical skills to work confidently with data in business and finance. It’s designed for analysts, finance professionals, and career switchers who want to use tools like Python, R, and SQL to solve real-world problems. Whether you’re starting with little coding experience or expanding existing skills, the program provides hands-on, practical training that prepares you for data-driven roles.
What are the admission requirements for the Data Science Analyst program?
There are no prerequisites to get started. You’ll just need a computer with internet access and Microsoft Excel 2016 or newer. The program begins with the foundations of data analysis before advancing into coding, visualization, and machine learning, making it accessible for beginners and valuable for professionals with prior experience.
How long does it take to complete the Data Science Analyst program, and how flexible is it?
Most learners complete the specialization in about 20–30 hours, but you can move at the pace that works best for you. The program is self-paced and included with your annual CFI subscription. You can start anytime, revisit lessons as often as needed, and learn entirely on your schedule during your CFI subscription. This flexibility allows you to build in-demand data skills alongside your professional commitments.
What career opportunities can the Data Science Analyst program help me pursue?
Completing this program prepares you for roles like data analyst, business intelligence analyst, financial analyst, or junior data scientist. The skills you develop—data cleaning, visualization, coding, and machine learning—are directly applicable across industries, including finance, consulting, and technology. By adding these competencies to your resume, you’ll stand out in a job market that increasingly values data-driven decision-making.
How does CFI ensure the Data Science Analyst training is practical and job-ready?
The program emphasizes applied learning with real datasets, coding exercises, and interactive projects. You’ll practice using tools like Python, R, and SQL to explore and analyze information the way professionals do. Every module is designed to give you skills you can immediately apply in your role, from creating data visualizations to building predictive models.
How are exams conducted in the Data Science Analyst program, and how do I earn my certificate?
Each course includes an online assessment with multiple-choice, fill-in-the-blank, Excel-based questions, and scenario-based challenges. To earn your certificate, you must finish all required courses and pass the final assessments. Once you do, you’ll receive a blockchain-verified digital certificate that’s instantly available in your learner dashboard and secure for sharing with employers and on your LinkedIn profile.
Is the Data Science Analyst certificate recognized worldwide by employers?
Yes. CFI certificates are globally recognized and demonstrate that you’ve built job-ready data skills in tools and techniques employers value. Adding this credential to your resume shows that you can analyze, interpret, and present data effectively in a professional context.
Are CFI courses accredited?
Yes. CFI is accredited by the Better Business Bureau and is an official NASBA sponsor, with courses recognized for CPE in the United States and CPD in Canada through CPA bodies. For the Data Science Analyst specialization, eligible courses list available CPE/CPD hours—be sure to review each course page and confirm acceptance with your licensing or professional organization. You can find more information here.
How much does the Data Science Analyst program cost, and what’s included with my subscription?
The specialization is included with your annual CFI all-access subscription, so there are no extra fees. Your membership unlocks unlimited access to all courses, resources, templates, and certificates, plus future updates during your subscription. You’ll also join a global community of professionals and gain access to career tools that support your growth.
What kind of learner support and career resources does CFI provide during the Data Science Analyst program?
You’ll have access to CFI’s technical and career support, including a global learner community and additional benefits through Full Immersion membership. This may include personalized feedback, instant help with AI Tutor, and premium email support. These resources are designed to help you not just complete the program, but also apply your new skills to advance your career.

If you haven’t found your answer from our FAQ, please send us a message.

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