Data Analytics Certification Program Training in Kansas City, KS

Data Analytics is the systematic process of collecting, cleaning, and analyzing raw data to discover meaningful patterns, trends, and actionable insights. By applying statistical analysis and technologies, it helps organizations make data-driven decisions to solve problems, boost efficiency, improve the customer experience, and predict future outcomes.

This course will prepare learners to help organizations make informed business decisions and evaluate consumer behaviors and satisfaction, ultimately leading to the creation of improved products and services. The course syllabus is specifically designed to help learners acquire skills for setting achievable goals in the business field.

This course is ideal for all working professionals without prior programming knowledge. It thoroughly covers essential topics such as data analytics, data visualization, and regression techniques.

The Data Analystics 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, raw data manipulation, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.

• 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

When considering Data Analytics, there are five essential elements you need to take into account:

• Collecting data.
• Data analysis.
• Reporting results.
• Improving processes.
• Building a data-driven culture.

• Enhanced Decision-Making.
• Improved Operational Efficiency.
• Customer Insights and Personalization.
• Fraud Detection and Risk Management.
• Cost Reduction and Financial Optimization.
• Competitive Advantage.

• Collect, clean, sort, evaluate, and visualize data
• Use statistical analysis, including hypothesis testing, regression analysis, and more, to make data-driven decisions
• Apply the OSEMN, framework to guide the data analysis process, ensuring a comprehensive and structured approach to deriving actionable insights
• Develop an understanding of the foundational principles of effective data management and usability of data assets within the organizational context
• 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

Throughout the program, you’ll get to practice your new Data Analysis skills through hands-on projects, including:

• Identifying data sources
• Using spreadsheets to clean and filter data
• Using Tableau to visualize results
• Using statistical analyses

By the end, you’ll have a professional portfolio that you can show prospective employers or utilize for your own business.

In this Data Analytics course, you will learn the latest analytics tools and techniques, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.

Upon completing the Data Analytics course, you will have the data analysis skills necessary to get your dream job in the data analytics space. Apart from Data Analyst, other job titles include:

• Data Analytics Manager/Lead
• Business Analyst/Senior Business Analyst
• Business Intelligence Analyst
• Business Intelligence Engineer
• Various managerial roles

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.

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

• 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

• 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 & Modeling
• 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 Modeling
• Data Warehousing
• Visualizing & Presenting Data
• Goals of Visualization
• Visualization Essentials
• Demo / Lab – Improving a Difficult Report
• Communicating Data-Driven Knowledge

A provider of Enterprise Learning Solutions (ELS), Insight Learning creates industry-fit talents through training, coaching, and consulting by globally acclaimed trainers. Much of Insight Learning’s repute in co-creating business value stems from:

• Training delivered in 45+ countries.
• 250+ industry-relevant courses.
• Consulting and coaching to transform organizations.
• Trainers with experience in Retail, E-commerce, Energy & Utilities, etc.
• Best value for time & money invested.
• Get trained at the best fee compared to other vendors
• Discounted fee offered for 5 or more attendees

Name: Jeffrey Adams

Email: [email protected]

Phone: +1 (713)-893-3306

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