Break Into Data Analytics with this Microsoft-Backed Program

Data Analytics today goes far beyond reports and dashboards. As a data analyst or aspiring data analyst, you’re expected to turn data into insights that drive smarter business decisions and communicate those insights clearly using industry-standard tools. Employers increasingly look for professionals who combine strong analytics fundamentals with hands-on, practical experience.

This webinar is designed for those exploring a structured and job-focused learning path. In this session, you’ll get an overview of Simplilearn's Data Analyst course, in collaboration with Microsoft Azure.

We’ll cover how the program is structured, how learning happens through live classes, hands-on projects, and a capstone, and the core skills you’ll build across data analysis, visualization, and data-driven decision-making using tools like Power BI, Excel, SQL, Python, Tableau, and Azure. By the end of the session, you’ll be able to assess whether this learning path fits your background and career goals.

Feb 17, 2026 | 9:00 PM IST | 10:30 AM ET

What You’ll Learn in This Session

• How data analytics roles are evolving and what employers expect from analysts.

• The skills and tools that indicate job readiness.

• How Microsoft-aligned tools are used to solve real business problems.

• A clear view of the Data Analyst course curriculum, hands-on projects, capstone, and learning progression.

• Career outcomes and the value of earning Microsoft course certificates.

Who Should Attend

• Professionals from any background looking to transition into Data Analytics
• Early- to mid-career professionals seeking to build analytics skills
• Business, IT, operations, finance, marketing, and consulting professionals
• Learners evaluating structured, industry-recognized certification programs

No prior programming or coding experience is mandatory.

About the Speaker

Christopher Himmel is a data scientist with over 20 years of experience analyzing, modeling, and presenting complex datasets to support business decision-making. He has worked extensively with tools such as Python, SQL, R, Tableau, and Power BI, and has implemented analytics and machine learning solutions across real-world business contexts.

In this session, he will walk through how analytics skills are applied in practice, what employers typically look for, and how structured learning programs help professionals build job readiness.

After the live session, registered attendees will receive Data Analytics Job Interviews: What Gets Tested Beyond Tools, a concise interview-readiness guide that explains how candidates are evaluated on analytical thinking, business context, and communication, not just tool knowledge.

Register Now for Free!