What will I learn in this course?

You will learn the fundamentals of Data Science and Analytics, including data exploration, visualization, machine learning, and practical applications for business.

Who is this course designed for?

This course is designed for professionals in tech, finance, healthcare, or anyone looking to enter the data science field and use analytics to drive business growth.

Is prior experience in data science required?

No prior experience is necessary. This course is designed for both beginners and professionals looking to expand their data skillset.

Is this course available for in-house training?

Yes, we offer customized in-house sessions tailored to your organization’s specific needs and goals.

Will I receive a certificate upon completion?

Yes, you will receive a Course Completion Certificate after completing the course.

Are the instructor’s expenses included in the fee for in-house training?

Yes, the instructor’s expenses—such as travel, accommodation, and related costs—are typically included in the overall in-house training fee.

Are your trainers certified and industry-experienced?

All our trainers are certified professionals with extensive industry experience and subject matter expertise in their respective fields.

What is your cancellation or rescheduling policy?

We have a flexible cancellation and rescheduling policy. Participants are eligible to request a refund if the request is submitted at least 7 days prior to the scheduled training date. Approved refunds will be processed within 14 to 21 business days.

Just Added

Monday, November 10

Unlock Data Science & Analytics Skills – 1 Day Training in Chicago, IL

By Mangates_inc

Discover the power of data in this 1-day Data Science & Analytics workshop in Chicago, IL. Perfect for professionals looking to harness d

Date and time

Location

Regus - Chicago - 111 W. Jackson

111 W. Jackson Suite 1700 Ph No +1 469 666 9332 Chicago, IL 60604

Agenda

Welcome & Introduction

• Overview of the course, goals, and structure • Icebreaker: Introduction of participants and their experience with data

Module 1: Introduction to Data Science & Analytics

• What is Data Science? • Key components of the analytics lifecycle: Data collection, analysis, and interpretation • Introduction to Python and R for data science • Activity

Module 2: Data Exploration and Visualization

• Data cleaning techniques • Visualizing data with tools like Tableau and Power BI • Best practices for presenting data to non-technical audiences • Case Study

Module 3: Basic Machine Learning Concepts

• Introduction to supervised and unsupervised learning • Building and evaluating simple machine learning models • Activity

Module 4: Advanced Data Analytics Techniques

• Predictive analytics and its business impact • Using statistical methods for data analysis • Activity

Module 5: Real-World Applications in Chicago’s Sectors

• How data analytics is revolutionizing finance, healthcare, and tech in Chicago • Case Study

Module 6: Implementing Data Analytics in Your Organization

• Key challenges in adopting data analytics • Tools and frameworks for successful implementation • Role Play

Good to know

Highlights

8 hours
Ages 18+
In person
Paid venue parking

Refund Policy

Refunds up to 7 days before event

About this event

Science & Tech • High Tech

Certificate: Course Completion CertificateDuration: 1 Day (9:00 AM – 5:00 PM)Course Delivery: Classroom (In-person / face to face)Language: EnglishCredits: 8 CEUsLunch, snacks, and beverages will be served during the session to keep you nourished and ready to learn.

Course Overview:

In Chicago, a city with a thriving finance, tech, and healthcare ecosystem, data-driven decision-making is essential to gain a competitive edge. This 1-day Data Science & Analytics course is designed to equip professionals in Chicago with the tools and techniques to make sense of big data, uncover trends, and drive business success. You’ll learn essential data science concepts, including data analysis, visualization, machine learning basics, and data-driven decision-making. Whether you work in finance, healthcare, or tech, this hands-on course will enable you to turn data into actionable insights that can propel your career and organization forward.

Learning Objectives:

By the end of this course, you will be able to:

Understand the fundamentals of Data Science and Analytics
Utilize data visualization tools like Tableau and Power BI to analyze and present data
Apply machine learning models for predictive analytics
Explore real-world data applications in Chicago’s finance, healthcare, and tech sectors
Implement data analytics techniques and strategies in their own organizations

Target Audience:

This course is designed for:

Data analysts and business analysts
Professionals in finance, healthcare, or tech industries looking to upskill
Entrepreneurs and startups in Chicago aiming to use data for business growth
Anyone looking to transition into the field of data science

What Makes This Course a Must?

In a data-driven world, understanding how to harness the power of data is essential for staying competitive. Chicago’s key industries—finance, healthcare, and tech—are increasingly relying on data analytics to innovate and drive success. This course gives you the hands-on skills to analyze data, generate insights, and make data-driven decisions that can transform your business. Whether you're looking to boost your career or provide value to your organization, this course will equip you with the tools you need to thrive in the evolving data landscape

Smart teams make smart savings.

Enjoy 10% off when 3 or more register together,
and 15% off for groups of 10 or more

Bring this course directly to your organization!

An in-house session allows for a tailored experience, where your team will focus on industry-specific data challenges. This format provides hands-on learning, real-world applications, and strategies directly relevant to your business, ensuring immediate value.

📧 Contact us today to schedule a customized in-house session: corporate@mangates.com

Organized by

Mangates_inc

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