Paths training
Data Analytics training courses
Standardize Data Analytics capability across your team with expert-led, on-demand training — every course below is current and team-ready.
AI
AI & Machine Learning
This AI and Machine Learning course helps you build reliable AI systems and deploy usable AI/ML workflows in any job. You’ll understand how models learn, build machine learning models, and master rigorous evaluation and pipeline design. The course lays out ML fundamentals like regression and tensors, then builds toward real LLM applications, focusing on hallucination reduction and retrieval-based apps. You’ll integrate latency awareness to ensure testable, grounded outputs, learning how modern AI scales in production using tools like PyTorch, TensorFlow, and LangChain. By the end, you’ll have a foundation in AI workflow thinking, equipping you with skills like ML fundamentals, RAG, evaluation, and AI security to consistently build reliable applications.
166 videos30 skills27hAWS
AWS Certified Data Engineer - Associate
This AWS Certified Data Engineer - Associate training teaches you to design, build, and manage scalable, secure data pipelines on AWS. Master powerful tools like S3, Glue, Redshift, and Lambda, and develop the cloud skills companies need to optimize data workflows, ensure security, and achieve compliance. This course is perfect as DEA-C01 exam prep, or as a training resource for data professionals who want to verify their data engineering skills.
156 videos18 skills18hAWS
AWS Machine Learning
This AWS Certified Machine Learning Engineer - Associate (MLA-C01) course is designed to get you comfortable with the full lifecycle of machine learning workflows on AWS. You’ll learn how to prepare data, train models, and deploy them securely in a professional environment. With AWS expert Scott Pletcher as your guide, you’ll explore key AI and ML services like Amazon SageMaker and AWS Glue, and see how to apply them in your everyday work. You’ll get hands-on with tools that simplify, accelerate, and enhance the way you use the AWS ecosystem. By the end, you’ll be ready to earn a career-advancing credential from the world’s cloud and AI powerhouse: the AWS Certified Machine Learning Engineer – Associate certification. Take the MLA-C01 exam with confidence and move forward in your machine learning career.
202 videos24 skills24hAzure
DP-900
This DP-900 certification training covers how to use Microsoft Azure data services to work with cloud-based data, whether relational or non-relational, in different workloads. This course prepares you for Microsoft's Azure Data Fundamentals certification by explaining relational and non-relational data, different data workloads and the core concepts of data in the cloud.
69 videos10 skills9hCompTIA
CompTIA Data+
This CompTIA Data+ certification training is a perfect data analyst course for beginners. With unlimited practice exams included, this course helps you build skills in organizing information, spotting patterns, and turning data into strategic insights. Starting with the basics of how modern data analysts gather, clean, analyze, and explain data, this Data+ certification training covers common data sources, basic statistics, and visual reporting. It also shows how AI for data analytics is evolving the role, how to work with data responsibly, and how to follow data compliance expectations. Data science expert Jonathan Barrios keeps the course practical and job-relevant, helping you learn data analytics skills you can use right away as you study for the Data+ v2 (DA0-002) exam.
163 videos28 skills21hCompTIA
DataAI
Get hands-on with AI, MLOps, and machine learning in this CompTIA DataAI (DY0-001) training for professional data scientists. Formerly known as CompTIA DataX, this course helps you learn core data science skills, including statistics, data modeling, and machine learning. Learn how to deploy deep learning models, build pipelines, and apply computer vision in real-world environments. This online DataAI training prepares you to support advanced data science workflows and pass the CompTIA DataAI certification exam. Train for the future of IT with cutting-edge AI skills.
309 videos38 skills32hData Analytics
Excel 2022 for Data Analysis: Beginners Online Training
This Excel 2022 for Data Analysis: Beginners training covers how to take huge amounts of data or big confusing spreadsheets and use Excel to extract meaningful information that helps make better business decisions.
34 videos5 skills5hData Analytics
Deep Learning
This Deep Learning course equips junior data scientists with the skills to implement deep learning solutions for image data, text classification, and time-series predictive modeling. Learn to use TensorFlow for computer vision (CV), natural language processing (NLP), and explore Large Language Models (LLMs). Ideal for onboarding new data scientists or as a data science reference resource.
281 videos38 skills34hData Analytics
Python for Data Analysis
Master the fundamentals of data analysis with Python, the industry-standard language for data professionals. This entry-level course moves you beyond the basics, equipping you with the practical skills to manipulate, analyze, and visualize complex datasets. Start training to harness the full potential of Python’s data libraries and turn your data into a competitive advantage.
41 videos7 skills7hData Analytics
Microsoft Fabric Analytics Engineer (DP-600)
Microsoft Fabric rollouts stall or create risk when nobody owns tenant settings, capacity, workspace creation, or data export controls. This DP-600 course gives IT Directors a structured way to prepare the people who will administer Fabric and build the analytics that run on it, so governance and performance are decided before rollout instead of after an incident. Built for analytics engineers, Power BI specialists, BI administrators, and senior data practitioners, the course covers Fabric licensing and the admin portal, security and governance controls such as sensitivity labels and sharing settings, and operational readiness topics like outage notifications, item recovery, and capacity usage. It then moves through getting and transforming data with Dataflows Gen2, querying warehouse data, and creating, modeling, and optimizing semantic models with DAX. At 9.3 hours across 11 skills, the course can be assigned over a few focused weeks while production work continues. Training Managers can pair it with CBT Nuggets Playlists, Practice Exams, and Team Reporting to sequence the path, support DP-600 readiness, and track completion across the team.
105 videos11 skills9hData Analytics
TensorFlow Developer
Dive into the emerging field of MLOps and create custom AI and machine learning models in this TensorFlow course. This Professional TensorFlow training prepares you to design, deploy, and optimize models using the popular open-source ecosystem. Use this machine learning engineer course to gain valuable TensorFlow AI skills, practical familiarity with machine learning engineering, and the ability to build your own custom machine learning TensorFlow solutions.
340 videos45 skills37hData Analytics
Programming for Data Science
Learn Programming for Data Science with Python in this course by data science expert Jonathan Barrios. This training bridges the gap between basic coding and professional data analysis, focusing on the essential programming for data science skills required in today’s market. You'll learn to leverage Python for data science by mastering libraries like NumPy and Pandas for advanced data wrangling, and Matplotlib for data visualization. You'll walk through writing reusable code and object-oriented programming to automate the processing of unstructured data. For aspiring data scientists and analysts, this course provides the technical foundation you need to deliver valuable insights.
155 videos26 skills21hData Analytics
Python and Pandas for Data Manipulation Online Training
This Python and Pandas for Data Manipulation training teaches how to efficiently manipulate and analyze data from multiple sources. Learn to clean, filter, sort, and combine data to extract insights. Perfect for onboarding data professionals or as a reference for IT teams. Topics include data cleaning, statistics, and visualization for smarter decision-making.
120 videos20 skills18hData Analytics
SQL for Data Practitioners
Master the fundamentals of Structured Query Language (SQL) to turn raw data into actionable insights. In this SQL training for Data Practitioners, you will learn to navigate relational databases, write efficient queries to extract specific datasets, and build or modify tables to organize information effectively.
54 videos10 skills9hISACA
Data Science Fundamentals (ITCA)
This entry-level ISACA Data Science Fundamentals training covers the foundations of data analysis, data governance, and data-driven decision-making, and prepares your team for the ITCA Data Science Fundamentals exam. It teaches how to interpret and analyze data with statistical methods that uncover trends and patterns, visualize results with charts and graphs, apply basic data governance practices, and use data to improve business processes. For a Training Manager building data literacy across an IT organization, it is a common starting point: analysts, administrators, and new IT professionals leave with a shared vocabulary for data work and an ISACA certificate that documents it. Individual professionals earn the same ITCA credential.
125 videos16 skills13hMicrosoft
PL-300
Kick off your Power BI journey and prepare for the PL-300 Power BI Data Analyst certification. This entry-level PL-300 training walks you through connecting, cleaning, and shaping data before turning it into simple, powerful charts and dashboards using Power Query and DAX. You’ll build skills in data modeling, report design, and workspace management with clear, practical examples. Reinforce your learning with unlimited PL-300 practice exams to make sure you have the best shot at acing the exam. If you’re ready to work smarter with data and earn your first Power BI cert, this expert-led course is the perfect place to start.
68 videos11 skills9hPython
Python PCAD Data Analyst
When reporting depends on spreadsheets or one person's scripts, results get inconsistent and reviews slow down. This intermediate PCAD™ course gives IT Directors and Training Managers a structured way to build a shared Python data analysis baseline. Analysts, data-focused IT practitioners, and Team Leads who support reporting all work from the same workflow. Across 61 skills, learners move from Jupyter Notebooks, NumPy, and Pandas into data cleaning, missing values, grouping, filtering, and transformation. They then build Matplotlib and Seaborn visualizations, collect web data with BeautifulSoup, CSS selectors, and XPath, and cover SQL basics, object-oriented programming, and descriptive statistics. The course closes with evaluating a K-nearest neighbor classifier using accuracy, precision, recall, F1 score, and support. At about 48.9 hours per learner, this works best as a multi-week enablement path. Training Managers can assign it by role or sprint, with data preparation first, visualization second, then SQL, scraping, and model evaluation as needed. CBT Nuggets Playlists and Team Reporting help Team Leads sequence the rollout and track completion across the team.
340 videos61 skills49hPython
PCED
This PCED training prepares you to earn the Certified Entry-Level Data Analyst with Python certification, with no Python or data science background required. You'll learn how data is collected, stored, and transformed, then move into Python fundamentals and apply them to real data tasks. You’ll clean messy datasets, run descriptive statistics, and spot trends. The course also covers how to communicate your findings clearly through structured reports and basic visualizations. By the end, you'll have the practical Python skills and exam knowledge to start working with data professionally, and pass the PCED-30-02 exam.
167 videos32 skills26h