Data Analytics is a method of examining datasets to find trends and draw conclusions about the information they contain. Data Analytics courses will equip the learners to assist a firm in making better business decisions and assessing consumer patterns and satisfaction, leading to the development of finer products and services.
Data analysis is a process for obtaining raw data and subsequently converting it into information useful for users’ decision-making. It is a process of inspecting, cleansing, transforming, and modelling data to discover useful information, inform conclusions, and assist decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains.
This course is ideal for all working professionals; prior programming knowledge is not required. It covers job-critical topics like data analytics, data visualization, regression techniques, and supervised learning via our Bootcamp learning model with live sessions by leading practitioners’ industry projects.
Key Features:
3 Days of Classroom Setting/Online Instructor-Led Live Training
24 PDUs Offered
Experiential Learning with Case studies and Simulations
Get Trained by a Globally Renowned Certified Data Analytics Instructor
24/7 Customer Support
What is the main objective of using Data Analytics?
Data analytics is a process used to extract meaningful insights, such as hidden patterns, unknown correlations, market trends, and customer preferences. Data Analytics provides various advantages; it can be used for better decision-making and preventing fraudulent activities, among others.
What are the methods of Data Analysis?
Types of Data Analysis are; Text, Statistical, Diagnostic, Predictive, and Prescriptive Analysis. Data Analysis consists of Data Requirement Gathering, Data Collection, Data Cleaning, Data Analysis, Data Interpretation, and Data Visualization.
What are the steps in data analysis?
To improve your data analysis skills and simplify your decisions, execute these five steps in your data analysis process:
Define Your Questions
Set Clear Measurement Priorities
Collect Data
Analyze Data
Interpret Results
Data Fundamentals
Course Overview and Level Set
Understanding Real-World Data
Types of Data
LAB: Hands-on – Profiling Data
Data-related Risk
Data Quality
LAB: Hands-on – Dealing with Duplicates
Relationships
LAB: Hands-On – Data Relationships using PowerPivot
Analysis Foundations
Statistical Practices: Overview
Domains of Data
Analysis Analyzing Data
Statistical Practices: Overview
Averages in Data
Central Tendency
LAB: Hands-On – Central Tendency
LAB: Hands-On Linear Regression
Distributions
Correlation
LAB: Hands-On – Distributions in Consumer Finance Data
Analytical Graphics for Data
Analytics & Modelling
ROI & Financial Decisions
LAB: Hands-On – Helpful Financial Metrics in Excel
Using Financial Data
Random Numbers
Demo / Lab – Monte Carlo Analysis in Excel
Predictive Analytics Demo / Lab – Using R for Powerful Analysis
Clustering
Data Modelling
Data Warehousing
Visualizing & Presenting Data
Goals of Visualization
Visualization Essentials
Demo / Lab – Improving a Difficult Report
Communicating Data-Driven Knowledge
Why global Corporates prefer Learning Zone Inc. as a training partner
An Enterprise Learning Solutions (ELS) provider, Learning Zone Inc. creates industry-fit talents through training, coaching, and consulting by globally-acclaimed trainers. Much of Learning Zone’s repute in co-creating business value stems from:
Training delivered in 45+ countries.
250+ industry-relevant courses.
Consulting and coaching to transform organizations.
Best value for time & money invested.
Trainers with experience in Retail, E-commerce, Energy & Utilities, etc.
Get trained at the best fee compared to other vendors
Discounted fee offered for 5 or more attendees
*We provide corporate training at your preferred location and dates at no additional cost.
Contact us for more information:
Name: Debbie Riel
Email: debbie.riel@learninzone.com
Phone: +1 302.251.9769
Information Source: Learning Zone Inc. | eventbrite

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Time:	Jul 23, 2025（UTC-8） ENDED
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