Download Our Latest Course Catalog | Download Now
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Download Our Latest Course Catalog | Download Now
Organizations collect more data than ever, but turning that information into useful decisions requires more than dashboards and reports.
AI+ Data Practitioner builds practical data science skills across statistics, programming, data preparation, visualization, generative AI, and machine learning. You’ll work with Python and R, explore data-driven decision-making and storytelling, and apply your skills to an employee attrition prediction capstone project.
AI+ Data Practitioner develops the analytical and technical skills needed to work with data throughout the data science lifecycle. The course begins with data science and statistics before progressing into data sources, programming, data wrangling, preprocessing, and exploratory data analysis.
You’ll learn how Python and R support data manipulation and visualization, while exploring generative AI and machine learning techniques for deriving insights and building predictive models.
The course also develops decision-making and communication skills through data analysis, interactive visualizations, and data storytelling. A final capstone brings these capabilities together through employee attrition prediction.
Basic knowledge of computer science and statistics
An interest in data analysis, its tools, and analytical processes
Willingness to learn programming languages such as Python and R
Data analysts and data scientists looking to strengthen advanced data science and decision-making skills
Business analysts and managers who want to use data for strategic insights and informed decisions
IT professionals and software developers interested in practical Python and R skills
Academics and researchers exploring the intersection of AI and data science
Entrepreneurs and startup founders using data to improve operations, products, and business decisions
1. Will I learn both Python and R in the AI+ Data Practitioner course?
Yes. The course introduces Python and R for data science, including data manipulation, preprocessing, analysis, and visualization using relevant libraries and tools.
2. Can the course be taken online?
Yes, the course is available through live virtual instructor-led training or a self-paced online option.
3. Is in-person training available?
Yes, classroom sessions are available through AI CERTs Authorized Training Partners.
Module 2: Foundations of Statistics
Module 3: Data Sources and Types
Module 4: Programming Skills for Data Science
Module 5: Data Wrangling and Preprocessing
Module 6: Exploratory Data Analysis (EDA)
Module 7: Generative AI Tools for Deriving Insights
Module 8: Machine Learning Refresher
Module 9: Advanced Machine Learning
Module 10: Data-Driven Decision-Making
Module 11: Data Storytelling
Module 12: Capstone Project – Employee Attrition Prediction
At DataCipher, we offer a variety of payment options for our Fortinet courses. Here are the methods available:
Purchase Order (PO) – If your organization prefers using a purchase order, begin the registration process by clicking the Register button. At the conclusion of the registration form, choose the option “My company will pay for it, please send an invoice with the payment details.” Our training team will then provide an official quote and any necessary additional information that your accounts department might need to issue the PO.
Bank Transfer – DataCipher maintains bank accounts in both the US and Europe, accommodating all standard bank transfer methods such as IBAN/BIC, Swift, ACH, or wire transfer. To make a payment via bank transfer, simply use the Register button to sign up for your selected course.
Credit Card Payments – We accept payments from all major credit cards, including Mastercard, VISA, American Express, Discover & Diners, and Cartes Bancaires. Payments can be made directly through the registration link or by requesting an invoice that includes a web link for online payment. All transactions are secure, and DataCipher does not store any credit card information.
These options are designed to make the registration process as smooth and flexible as possible for all participants.
Guaranteed to Run – DataCipher is committed to running this class unless unforeseen events such as an instructor’s accident or illness occur.
Guaranteed on Next Booking – The course will proceed once an additional student registers.
Scheduled Class – We have scheduled this course and rarely cancel due to low enrollment. We offer a “Cancel No More Than Once” guarantee, ensuring that if a class is canceled due to insufficient enrollment, the next session will run regardless of the number of attendees.
Sold Out – If the class is fully booked, please use our contact form to join the waiting list or to inquire about additional sessions. We’re here to accommodate your training needs and keep you informed of new opportunities.
At DataCipher, we offer our training courses in both traditional full-day and convenient half-day formats. Our half-day classes are specifically designed for IT professionals who cannot be away from their workplaces for consecutive full days. This flexible schedule allows participants to dedicate a few hours to learning and then return to their regular work responsibilities.
The curriculum for both the full-day and half-day formats is identical. The primary difference is that the half-day classes spread the coursework over a more extended period, providing a balanced approach to professional education. DataCipher has been successfully running these half-day training sessions for several years, receiving consistently positive feedback from our customers. They appreciate the flexibility and report that the extended timeframe facilitates a deeper understanding of the material, as it gives them more time to absorb and reflect on the information learned.
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