Data Analytics Onsite Training

Build a strong foundation in data analytics by working with Excel, SQL, and Python to analyze and visualize data. You'll gain hands-on experience with tools like Tableau and Power BI, and develop the skills needed to manipulate data and present insights effectively.

Learn how to use Power BI, a powerful data visualization tool, to create interactive and aesthetically pleasing charts, graphs, and maps. Learn how to connect to datasets, analyze and structure data, customize visualizations, and publish reports.

Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.

Become proficient in Microsoft Excel and go from beginner to pro with this hands-on bootcamp. Learn functions, Pivot Tables, macros, and time-saving techniques to conquer all the key skills needed to excel in Excel.

Learn how to use Tableau, a powerful data visualization tool, to create interactive and aesthetically pleasing charts, graphs, and maps. This bootcamp will teach you how to connect to datasets, analyze and structure data, and publish your work.

Explore the role of management analysts and gain foundational skills in data analysis, problem-solving, and presenting findings effectively.

Learn practical techniques to collect reliable primary data through observations, interviews, and surveys.

Gain foundational statistical skills using measures such as averages, proportions, and variability to interpret data effectively.

Develop the ability to draw valid conclusions and make predictions from sample data using inferential statistical methods.

Expand your analytical toolkit with structured methods for problem-solving, decision-making, and performance measurement.

Learn how to design structured, decision-informed research studies that guide effective program and policy analysis.

Learn to transform data into compelling narratives and visuals that enhance understanding and drive decision-making.

Learn the fundamentals of cost-benefit analysis to evaluate projects, make informed decisions, and present actionable recommendations.

Learn to evaluate federal programs using systematic tools to describe purpose, collect data, and analyze effectiveness.

Put your analytical skills to the test by designing and presenting a full study plan grounded in data analysis and strategic recommendations.

This self-study course includes the DSBIZ eLearning, assessment, and credential. The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms.

In this course, you will cover the knowledge and skills required to transform business requirements in support of data-driven decisions by mining data, manipulating data, applying basic statistical methods, and analyzing complex data sets while adhering to governance and quality standards throughout the entire data lifecycle. In addition, it will help prepare candidates to take the CompTIA Data+ certification exam.

Learn foundational data concepts and explore Microsoft Azure data services including databases, analytics, and visualization tools. Prepare for the Azure Data Fundamentals (DP-900) certification exam.

Master the skills to analyze, model, and visualize data using Microsoft Power BI for impactful business insights.

Explore the end-to-end process of business analysis, including planning, requirements elicitation, and solution validation.

Learn to structure and guide business analysis initiatives with a focus on planning, stakeholder engagement, and feasibility within projects and programs.

Master the elicitation, documentation, and presentation of business requirements using stakeholder engagement and structured packages.

Build analytical skills to evaluate proposed solutions, allocate requirements effectively, and verify readiness with structured validation approaches.