Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making.

Data analysis is a process for obtaining raw data and subsequently converting it into something 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.

The Data Analyst certification course will equip you with the latest analytics tools and techniques, how to work with SQL databases and basic SQL queries, the programming languages of R and Python, raw data manipulation, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.

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

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 you'll learn:

• Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job
• Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau)
• Understand how to clean and organize data for analysis and complete analysis and calculations using spreadsheets, SQL, and R programming
• Learn how to visualize and present data findings in dashboards, presentations, and commonly used visualization platforms

Skills you’ll gain will include: Data cleaning, problem solving, critical thinking, data ethics, and data visualization

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 charge.

Contact us for more information:

Name: Debbie Riel

Email: [email protected]

Phone: +1 302.251.9769