Data Science Analyst Certification
Fast-track your career growth with a Data Science Analyst Certification from Pragmatic Data.
Data Science Analyst Certification
Basic Python Coding Skills
Self-paced with Instructor support, hands-on exercises, and mini-projects
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.
How You'll Benefit
- Holistic Skill Set: From cleaning messy data to deploying machine learning and NLP solutions, you’ll be better prepared to tackle tough data challenges.
- Industry-Recognized Credential: A Data Science Analyst certificate showcases your commitment to staying at the forefront of technology and innovation.
- Immediate Applicability: Bring fresh skills to your workplace and quickly demonstrate how advanced data analysis and AI can uncover new insights and inform key business decisions.
- Hands-On Training: Learn quickly with real-world exercises and mini-projects to develop lasting skills.
- Career Acceleration & Versatility: Unlock new opportunities within data science, machine learning, business intelligence, product strategy, and more.
- Self-Paced Flexibility & Personalized Support: Learn at your own pace while still benefiting from dedicated instructor office hours when you need them, ensuring you can master complex concepts on a schedule that fits your life.
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.
Your Path To Certification
- Enroll in All Three Courses: Complete Data Wrangling with Python, AI & Machine Learning, and Generative AI for NLP.
- Engage & Apply: Learn at your own pace, apply concepts with hands-on exercises, and attend office hours for personalized support.
- Demonstrate Mastery: Validate your new abilities through real-world mini-projects.
- 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.
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.
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 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).