Introduction to Data Analytics: 1-Day Professional Training in Chicago, IL
Description
About This Event
Duration: 1 Day
Course Delivery: Classroom / In-House
Language: English
Credits: 8
Certificate: Course Completion Certificate
Refreshments: Lunch, Snacks and beverages will be provided during the session
Course Overview
From Raw Data to Real Insights – Unlock the Power of Data!
Every number tells a story. Are you ready to discover what your data is really saying?
Struggling to make sense of spreadsheets, identify trends, or turn data into meaningful decisions? Our course helps you build the confidence to understand, organize, analyze, and visualize data effectively. Through hands-on activities and practical business examples, discover how to clean datasets, create impactful charts, uncover valuable insights, and communicate findings that support smarter decisions.
Who Should Attend?
This training is ideal for anyone looking to strengthen their ability to understand data and make informed business decisions, including:
Aspiring Data Analysts and Analytics Beginners
Business Analysts and Business Professionals
Marketing, Sales, and Operations Professionals
Project Managers and Team Leaders
Finance and Administrative Professionals
Entrepreneurs and Small Business Owners
Students, Recent Graduates, and Career Changers
Anyone Interested in Building Practical Data Analytics Skills
Action Call
Ready to Turn Data into Smarter Decisions?
Don't just collect data. Learn to understand it, visualize it, and make it work for you!
Whether you're starting your analytics journey or looking to make better use of business information, this training gives you a practical foundation to approach data with greater confidence.
©2026 Mangates Tech Solutions Pvt Ltd. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.
Agenda
Module 1: Understanding Data Analytics
1. Introduction to data analytics and its business applications 2. Understanding structured and unstructured data 3. Exploring descriptive, diagnostic, predictive, and prescriptive analytics 4. Understanding the stages of the data analytics process 5. Activity
Module 2: Data Collection & Preparation
1. Identifying relevant data sources and collection methods 2. Understanding data formats and dataset structures 3. Organizing data using spreadsheets 4. Assessing data accuracy, completeness, and reliability 5. Activity
Module 3: Data Cleaning & Transformation
1. Identifying missing, duplicate, and inconsistent data 2. Applying basic data-cleaning techniques 3. Formatting and standardizing datasets 4. Preparing clean datasets for analysis 5. Activity
Module 4: Exploratory Data Analysis
1. Understanding descriptive statistics and summary measures 2. Using sorting, filtering, and spreadsheet formulas 3. Identifying patterns, trends, and outliers 4. Exploring relationships between data variables 5. Activity
Module 5: Data Visualization & Dashboard Basics
1. Understanding the principles of effective data visualization 2. Selecting appropriate charts for different data types 3. Creating charts using spreadsheet tools 4. Understanding basic dashboard design and KPIs 5. Activity
Module 6: Data Interpretation & Business Insights
1. Interpreting analytical results accurately 2. Identifying actionable business insights 3. Recognizing data bias and analytical limitations 4. Supporting decisions using evidence and data 5. Activity
Module 7: Data Reporting & Communication
1. Structuring a basic data analysis report 2. Presenting findings through charts and summaries 3. Communicating insights to nontechnical audiences 4. Developing data-driven business recommendations 5. Activity
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