Data Analytics Certification Training in Carson City, NV

Data Analytics Certification Training in Carson City, NV

Overview

Data Analytics is all about using data to make the right decisions. By Collecting, Cleaning, Ethics, Problem-Solving, and Analyzing Data.

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.

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

Key points of Data Analytics:

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.

Benefits of Data Analytics certification:

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

What you'll learn

  • 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.

What are the learning objectives of the Data Analytics course?

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.

What are the various job titles that one can apply for after completing this Data Analytics course?

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

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.

Course Curriculum

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 & 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

Why do global corporations prefer Insight Learning as their training partner?

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

*We provide corporate training at your preferred locations and dates for no additional cost.


Contact us for more information:

Name: Jeffrey Adams

Email: jeff.adams@insightlearnin.com

Phone: +1 (713)-893-3306

Data Analytics is all about using data to make the right decisions. By Collecting, Cleaning, Ethics, Problem-Solving, and Analyzing Data.

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.

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

Key points of Data Analytics:

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.

Benefits of Data Analytics certification:

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

What you'll learn

  • 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.

What are the learning objectives of the Data Analytics course?

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.

What are the various job titles that one can apply for after completing this Data Analytics course?

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

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.

Course Curriculum

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 & 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

Why do global corporations prefer Insight Learning as their training partner?

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

*We provide corporate training at your preferred locations and dates for no additional cost.


Contact us for more information:

Name: Jeffrey Adams

Email: jeff.adams@insightlearnin.com

Phone: +1 (713)-893-3306

Good to know

Highlights

  • In person

Refund Policy

Refunds up to 7 days before event

Location

Regus Business Center

Regus Business Center/Executive Park

Carson City, NV 89701

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