For beginners or those seeking a refresher, one optional prep course covers the fundamentals.
For Individuals
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DSS program: 10 total courses, 6 required to earn DSS certificate
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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
10 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 2.
Core Courses
Complete 4 required core courses to build your skill set in data science analyst specialization.
Step 3.
Elective Courses
Choose a minimum of 2 electives (out of 5 available) to master more advanced topics and specialized areas.
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 Certificate Skills & Learning Objectives
1
36%
Predictive Analysis
2
36%
Statistics
3
28%
Coding
1
2
3
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1.36%Predictive Analysis
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2.36%Statistics
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3.28%Coding
A Step by Step Approach to Building Your Data Skills
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
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 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 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.
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![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.
If you haven’t found your answer from our FAQ, please send us a message.
