Data Science Analyst Specialization
This certificate program teaches you about data analysis in Python and R - and the building, evaluation, and interpretation of machine learning models using classification and regression. Take the 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.
The article below contains the following information about CFI's Business Essentials Specialization:
Skills You'll Gain |
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Predictive Analysis, Machine Learning, Python fundamentals, Data visualization, and more.
The Data Science Analyst Specialization Program is great for Data Scientists, Data Analysts, Financial Analysts, and more. |
To enroll in the DSA Specialization Program, you must have an active Self-Study or Full-Immersion Subscription. Click here to review and select the subscription that best suits your needs!
No additional fees are required to earn your certification once you've enrolled.
Data Science Analyst Specialization Requirements
Please click here and select "How it Works" to learn more about earning your Business Essentials Specialization requirements.
- Step 1 (optional): Take the prep course. These courses are optional but serve as a good refresher on the fundamentals.
- Step 2: Complete core coursework.
- Step 3: Complete at least two elective courses.
- Step 4: Sign the CFI Honor Pledge. Program candidates must sign and abide by the CFI Honor Pledge to receive and maintain program certification. Failure to abide by the CFI Honor Pledge will result in the revocation of one's certificates.
- Step 5 (optional): View and download your online certificate & student transcript.
Duration & Delivery
Lectures, study materials, and exams are all online and accessible worldwide, allowing the program to be completed anytime on a self-paced timeline.
The estimated time required to complete the Data Science Analyst Specialization is 24 hours.
Career Paths
CFI's Data Science Analyst Specialization Program is designed to help students gain practical experience with complex datasets and predictive machine learning models.
- 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 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.