Data Science Analyst Certification

Data Science Analyst Certification

Fast-track your career growth with a Data Science Analyst Certification from Pragmatic Data.

* Get up to $450 off your data certification with code CERT2025 for a limited time!
"Great starting point to my data science career. It is hands on and covers top techniques and applications needed for machine learning."
3 Course Series
Data Science Analyst Certification
Recommended Experience
Basic Python Coding Skills
Course Format
Self-paced with Instructor support, hands-on exercises, and mini-projects
Your Certification, Your Schedule
Flexible Schedule
Private Training Available

Build Your Expertise with Hands-On Training from Pragmatic’s Data Science Analyst Certification

Elevate your career and become a data-driven powerhouse with Pragmatic Institute’s comprehensive Data Science Analyst Certification. This unique certification pathway combines three dynamic courses—Data Wrangling with Python, AI & Machine Learning, and Generative AI for NLP—that equip you with the in-demand data expertise modern businesses seek.

After each Pragmatic course you will receive a badge. Complete all three courses and earn the prestigious Data Science Analyst Certification, affirming your mastery of essential data skills.

Six people sitting around a conference table. There are laptops and papers on the table.

How You'll Benefit

* Get up to $450 off your data certification with code CERT2025 for a limited time!

Skills You'll Gain

Data Ingestion & Cleaning

Data Transformation

Foundational Machine Learning

Workflow Automation

Integrating Text & Numeric Data

Text processing with LLMs

Text Summarization & Categorization

Sentiment & Topic Extraction

Ready To Transform Your Career?

Don’t miss your chance to become an invaluable data pioneer in your organization. Earn your Data Science Analyst Certification and join a community of professionals who are harnessing data to shape the future.

Enroll Today and unlock the power of data wrangling, machine learning, and generative AI for NLP—all under the guidance of Pragmatic Data’s leading experts.

Three people in a conference room. One sits at the table with headphones and a laptop. Two others stand in conversation, looking at a paper together.
Data Science Analyst Certification

Your Path To Certification

  1. Enroll in All Three Courses: Complete Data Wrangling with Python, AI & Machine Learning, and Generative AI for NLP.
  2. Engage & Apply: Learn at your own pace, apply concepts with hands-on exercises, and attend office hours for personalized support.
  3. Demonstrate Mastery: Validate your new abilities through real-world mini-projects.
  4. Earn the Credential: Upon successful completion of all three courses, you’ll be awarded the Data Science Analyst Certification.

Who Should Get Certified?

  • Business Analysts & Data Enthusiasts looking to level up their Python and AI skills to drive more informed decision-making.
  • Professionals Transitioning into Data Roles who want a structured, end-to-end curriculum that starts with foundational data wrangling and concludes with advanced generative AI techniques.
  • Managers & Team Leads aiming to make data-driven strategies the norm within their teams.
An overhead shot of two people sitting side by side with laptops on their laps

Data Wrangling with Python course logoData Wrangling with Python

1 Course | 21—30 Hours (self-paced lectures, hands-on exercises, mini projects)
  • Load & Clean Data Efficiently: Move beyond spreadsheets to ingest and transform raw data from multiple sources using Python and the powerful pandas library.
  • Streamline Analyses: Filter, merge, and shape large volumes of data, automate workflows for deeper, faster, and more accurate analysis.
  • Data Visualization & Initial Insights: Explore data visually and perform basic analytics to uncover immediate insights before advanced modeling.
  • Learn to listen to the market, prioritize projects, and drive results.

AI and Machine Learning course logoAI & Machine Learning

1 Course | 19—28 Hours (self-paced lectures, hands-on exercises, mini projects)
  • Foundational Machine Learning Techniques: Understand the core ML concepts such as supervised and unsupervised learning, learn fundamental ML algorithms including regression, random forests, and clustering.
  • Model Selection & Training: Learn to choose appropriate models for use cases, tune and optimize models, simplify the training and prediction cycles with Pipelines.
  • Real-World Use Cases: Learn to use ML models for real-world use cases such as forecasting sales, detecting anomalies in shipments, classifying customers, and spot churn risks.

Generative AI for NLP course logoGenerative AI for Natural Language Processing

1 Course | 19—28 Hours (self-paced lectures, hands-on exercises, mini projects)
  • Leverage Large Language Models (LLMs): Gain an understanding of LLM capabilities and limitations to extract deeper insights from textual data, tune outputs with temperature, and grasp key transformer architecture concepts.
  • Leverage OpenAI & Prompt Engineering: Integrate OpenAI APIs into your workflows with Python, craft effective prompts, and incorporate the responses directly into your analyses.
  • Transform NLP with LLMs: Learn to extract sentiment from text, categorize and summarize documents, translate content, and find similarities using vector embeddings and Retrieval-Augmented Generation (RAG).

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