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
- Statistical Practices: Overview
- LAB: Hands-On – Central Tendency
- LAB: Hands-On Linear Regression
- LAB: Hands-On – Distributions in Consumer Finance Data
- Analytical Graphics for Data
- ROI & Financial Decisions
- LAB: Hands-On – Helpful Financial Metrics in Excel
- Demo / Lab – Monte Carlo Analysis in Excel
- Predictive Analytics Demo / Lab – Using R for Powerful Analysis
- Visualizing & Presenting Data
- 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
