Statistics and Data Mining eLearning Bundle Course

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Course Details:

Length: 5 Courses

Price: $300/person (USD)

Access Length: 6 months

Bulk Pricing: 10+ Contact Us

Course Features:

Instant Access After Purchase

Lecture by Recorded Video

Stop and Start as Needed

Certificate of Completion

Software Lab Included: Yes

Delivery Method:

 Self-Paced Online

Individuals & Groups
@ Your Location


 

Course Overview

Statistics and Data Mining eLearning Bundle: Essential Skills for Data Science Careers

The Statistics and Data Mining eLearning Bundle is your comprehensive, practical path to mastering the foundational quantitative skills required for Data Science, Business Intelligence, and Advanced Analytics. This intensive learning path, totaling nearly 6 hours of specialized instruction, moves you from basic statistical analysis fundamentals to advanced predictive modeling and data mining techniques.

In today's data-driven world, the ability to clean, analyze, and extract meaningful insights from large datasets is critical. This bundle bridges the gap between raw data and business intelligence, ensuring you gain proficiency in the methodologies that drive organizational decisions.

What You Will Gain:
  • Foundational Statistical Fluency: Develop a strong understanding of data distributions, descriptive statistics, probability, and hypothesis testing. Learn when and how to apply essential inferential tests like Chi-Square, T-tests, and ANOVA.
  • Mastering Data Mining Techniques: Differentiate between traditional statistics and modern data mining concepts. Learn how to scope typical data scientist projects and apply advanced methodologies.
  • Advanced Predictive Modeling: Gain hands-on experience with key predictive techniques, including Linear Regression, Decision Trees (CHAID), and Neural Networks. You'll be able to compare, contrast, and choose the optimal model for various business problems.
  • Segmentation and Association Analysis: Explore Cluster Analysis (K-Means) to segment data and create powerful cluster profiles. Master Association Modeling (Market Basket Analysis) to uncover hidden relationships and objectives within your data.

Transform Your Career:

By the end of this Learning Path, you won't just know the theory - you'll be able to implement these powerful techniques with ease, transforming you into a highly capable Data Analyst or Junior Data Scientist. This bundle solidifies your technical foundation, making you an invaluable asset in any organization that leverages data for strategic advantage.

Start analyzing, interpreting, and predicting outcomes. Enroll now to secure your expertise in Statistics and Data Mining!

Also Included - 4 Courses: An Essential Career Skills Pack with 4 courses in key areas for career management and growth, including Time Management, Digital Skills, Creativity and Soft Skills.

 


Course Notes

Prerequisites
Knowledge Prerequisites:
  • Basic computer literacy and familiarity with spreadsheet software (like Excel).
  • A general interest in working with and interpreting data.

Bundle Objectives
  • Define the basic steps of data analysis and determine the appropriate measurement level for data.
  • Calculate and interpret various descriptive statistics and summarize individual variables.
  • Understand data distributions and visualize data using various graphical methods like clustered bar charts and scatterplots.
  • Master the concepts of probability and hypothesis testing to draw inferences from data.
  • Perform and interpret key inferential statistical tests: Chi-Square, Independent/Paired Sample T-tests, and One-Way ANOVA.
  • Calculate and interpret the Pearson Correlation Coefficient and use appropriate graphical displays.
  • Compare and contrast the purpose and methodologies of statistics vs. data mining.
  • Differentiate between statistical, decision tree, and machine learning predictive models.
  • Implement and interpret Linear Regression for predictive modeling.
  • Utilize the CHAID algorithm for building and interpreting Decision Trees.
  • Apply and understand the results of basic Neural Networks in predictive modeling.
  • Perform Cluster Analysis (K-Means) to segment data and create meaningful cluster profiles.
  • Implement Association Modeling (Apriori) for market basket analysis to uncover rules and relationships.

Target Audience

This course is suitable for:

  • Aspiring Data Scientists and Analysts: Individuals looking to build a strong theoretical and practical foundation in the quantitative methods of data science.
  • Business Intelligence (BI) Professionals: Analysts who need to move beyond basic reporting and leverage predictive and analytical modeling for deeper insights.
  • Researchers and Academics: Those needing to strengthen their knowledge of statistical testing and data interpretation for research projects.
  • Managers and Decision-Makers: Professionals who want to understand the statistical and data mining methodologies used by their teams to better interpret results and drive strategic planning.
  • Anyone interested in learning the core techniques used to extract value and make predictions from data.

Key Features
  • Audio Narration
  • Video
  • Inline Activities
  • Supplemental Resources
Languages
  • Audio/Video/Course Text: American English.
  • Subtitles (Closed Caption): N/A.
Course Duration
  • Statistics and Data Mining: 5 hr 51 min
  • Essential Career Skills Pack: 2 hr 23 min

 


eLearning Training Delivery Method

Learn at Your Own Pace

This self-paced online course lets you learn independently at your own pace through Certstaffix Training's easy-to-use platform.

How It Works

  • A Learn at your own pace - Start and stop as it is convenient for you. Pick up where you left off.
  • Lecture utilizing video and recorded screenshots
  • 6-month subscription length
  • Instant Access After Purchase

Have more than 10 students needing this course? Contact Us for bulk pricing.

 


Course Topics

Learning Path: Statistics and Data Mining for Data Science

Course Duration - 5 hr 51 min

Data science is an ever-evolving field, with an exponentially growing popularity. It includes techniques and theories based on the fields of statistics, computer science, and most importantly machine learning, databases, and visualization. If you wish to enter the world of statistics and data mining, then look no further because this practical video course will walk you through the basics as well as the advanced concepts in a step-by-step manner.

Packt’s Video Learning Path is a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.

The highlights of this Learning Path include learning when to use different statistical techniques, how to set up different analyses, and how to interpret the results and applying statistical and data mining techniques to analyze and interpret results using CHAID, linear regression, and neural networks.

This Learning Path begins with explaining the steps to analyse data and identify which summary statistics are relevant to the type of data you are summarizing. You will then learn several procedures, such as how to run and interpret frequencies and how to create various graphs. You will also be introduced to the idea of inferential statistics, probability, and hypothesis testing.

Next, you will learn how to perform and interpret the results of basic statistical analyses such as chi-square, independent and paired sample t-tests, one-way ANOVA, post-hoc tests, and bivariate correlations and graphical displays such as clustered bar charts, error bar charts, and scatter plots. You will then learn how to use different statistical techniques, set up different analyses, and interpret the results.

Moving ahead, this Learning Path shows the comparing and contrasting between statistics and data mining and then provides an overview of the various types of projects data scientists usually encounter. Next, you will be introduced to the three methods (statistical, decision tree, and machine learning) with which you can perform predictive modeling. Finally, you will explore segmentation modeling to learn the art of cluster analysis and will work with association modelling to perform market basket analysis.

By the end of this Learning Path, you will gain a firm knowledge on data analysis, data mining, and statistical analysis and be able to implement these powerful techniques on your data with ease.

Course Objectives:
Course Objectives:
  • Identify the basics of analyzing data
  • Identify the importance of summarizing individual variables
  • Use inferential statistics and perform the Chi-Square test
  • Define correlations
  • Differentiate between the various types of predictive models
  • Utilize linear regression and explore the results of a decision tree
  • Perform cluster analysis and work with neural networks
Detailed Course Outline:
Detailed Course Outline:
Basic Statistics and Data Mining for Data Science
  • The Course Overview
  • Basic Steps of Data Analysis
  • Measurement Level and Descriptive Statistics
  • Reasons for Summarizing Individual Variables
  • Obtaining Frequencies and Summary Statistics
  • Data Distributions
  • Visualizing Data
  • Hypothesis Testing and Probability
  • Statistical Outcomes
  • Chi-square Test Theory and Assumptions
  • Chi-square Test of Independence Example
  • Post-hoc Test Example
  • Clustered Bar Charts
  • Independent Samples T-Test: Theory and Assumptions
  • Independent Samples T-Test Example
  • Paired Samples T-Test: Theory and Assumptions
  • Paired Samples T-Test Example
  • T-Test Error Bar Charts
  • One-way ANOVA Theory and Assumptions
  • One-way ANOVA Example
  • Post-hoc Test Example
  • ANOVA Error Bar Charts
  • Pearson Correlation Coefficient Theory and Assumptions
  • Pearson Correlation Coefficient Example
  • Scatterplots
Advanced Statistics and Data Mining for Data Science
  • Course Overview
  • Comparing and Contrasting Statistics and Data Mining
  • Comparing and Contrasting IBM SPSS Statistics and IBM SPSS Modeler
  • Types of Projects
  • Predictive Modeling: Purpose, Examples, and Types
  • Characteristics and Examples of Statistical Predictive Models
  • Linear Regression: Purpose, Formulas, and Demonstration
  • Linear Regression: Assumptions
  • Characteristics and Examples of Decision Trees Models
  • CHAID: Purpose and Theory
  • CHAID Demonstration
  • CHAID Interpretation
  • Characteristics and Examples of Machine Learning Models
  • Neural Network: Purpose and Theory
  • Neural Network Demonstration
  • Comparing Models
  • Cluster Analysis: Purpose Goals, and Applications
  • Cluster Analysis: Basics
  • Cluster Analysis: Models
  • K-Means Demonstration
  • K-Means Interpretation
  • Using Additional Fields to Create a Cluster Profile
  • Association Modeling Theory: Examples and Objectives
  • Association Modeling Theory: Basics and Applications
  • Demonstration: Apriori Setup and Options
  • Demonstration: Apriori Rule Interpretation
  • Demonstration: Apriori with Tabular Data

 


 


Essential Career Skills Pack


Productivity and Time Management

Course Duration - 30 min

It seems that there is never enough time in the day. But, since we all get the same 24 hours, why is it that some people achieve so much more with their time than others? This course will explain how to plan and prioritize tasks, so that we can make the most of the limited time we have. By using the time-management techniques in this course, you can improve your ability to function more effectively – even when time is tight and pressures are high. So, by the end of the course you will have the knowledge, skills and confidence to be an effective manager of your time.

Course Objectives:
Course Objectives:
  • Set your priorities to better manage your time
  • Improve your productivity by sharpening your focus and multitasking effectively
Detailed Course Outline:
Detailed Course Outline:
  • Productiity & Time Management
  • Prioritization
  • Getting Things Done
  • Procrastination
  • Multitasking & Focus
  • Summary


 

Basic Digital Skills

Course Duration - 13 min

With the rise of digital transformation and technology, having a basic digital literacy is essential for all types of jobs, regardless of the industry. To stay competitive and be successful in the workplace, enhancing your digital skills should be a top priority.

Course Objectives:
Course Objectives:
  • Recall the essential digital skills framework
  • Elaborate on the toolkit of essential digital skills
  • Identify how to develop or improve your digital skills
Detailed Course Outline:
Detailed Course Outline:
  • The Essential Digital Skills Framework
  • The Toolkit of Essential Digital Skills
  • Developing Digital Skills
  • Summary


 

4 Ways to Boost Creativity

Course Duration - 30 min

The digital economy is opening up ways for everyone to be creative. It doesn’t just mean being artistic – it’s more about ideas, solutions, alternatives, incremental improvements. Peter Quarry and Eve Ash discuss ways that mental capacity can be developed, perspectives changed, group power leveraged and making things actually happen.

Course Objectives:
Course Objectives:
  • Define creativity
  • Think outside the box
  • Develop the right mental attitude
  • Leverage the power of groups
  • Ensure managers make it happen
Detailed Course Outline:
Detailed Course Outline:
  • What is Creativity at Work?
  • Learn to Think Outside the box
  • Develop the Right Mental Capacity
  • Laverage the Power of Groups
  • Ensure Managers Make It Happen
  • Summary


 

The 11 Essential Career Soft Skills

Course Duration - 1 hr 10 min

Soft Skills are the traits, characteristics, habits, and skills needed to survive and thrive in the modern work world. Soft skills aren't usually taught in school, but you will learn them all here in this course. Are you someone that other people in your organization and industry like to work with, collaborate with and partner with? Are you seen as a valuable asset to any new project that comes along?

This soft skills training course will teach you how to develop the skills that can make the difference between a lackluster career that tops out at middle management versus one that lands you in the executive suite. Or to wherever you define career success. So many soft skills seem like common sense at first glance, but they are not commonly applied by most workers. This soft skills training course will give you an edge over your competitors. It will also make your job, your career and your life more rewarding and enjoyable.

Course Objectives:
Course Objectives:
  • Understand how to be a great communicator
  • Become a stronger listene
  • Appear professional to co-workers and bosses of all ages
  • Avoid common career blunders that often end careers
  • Manage expectations for bosses and colleagues
  • Position yourself for promotions
  • Make technology your asset, even if you are afraid of technology
  • Avoid the Not My Job Syndrome
  • Develop EQ to Match Your IQ
  • Develop leadership qualities
Detailed Course Outline:
Detailed Course Outline:
  • Introduction
  • The Soft Tech Savvy Way to Always Be Essential
  • Not My Job, And I Am Happy to Do It
  • You Can Become a Master Communicator
  • Feedback Video for The 11 Essential Career Soft Skills
  • Become a Leader Without the Title or Formal Authority
  • Your EQ Will Beat a Higher IQ
  • Building Your Winning Team
  • Make Every One of Your Seconds Count
  • Unleash Your Inner Anthony Robbins
  • Avoid Being Uncool
  • Clothes Can Still Make or Break Your Career
  • Conclusion The 11 Essential Career Soft Skills
  • Extra: Developing Your Career Secret Sauce

 



 


Related Business Statistics Information:

How Much Do Business Statistics Training Courses Cost?

Public instructor-led Business Statistics course prices start at $455 per student. Group training discounts are available.

Self-Paced Business Statistics eLearning courses cost $300 at the starting point per student. Group purchase discounts are available.

What Business Statistics Skills Should I Learn?

A: If you are wondering what Business Statistics skills are important to learn, we've written a Business Statistics Skills and Learning Guide that maps out Business Statistics skills that are key to master and which of our courses teaches each skill.

Read Our Business Statistics Skills and Learning Guide

What are the courses for statistics?

A: Statistics training courses can provide you with the skills and knowledge necessary to work in this field. There are many different types of statistics courses available, so it is important to choose one that best suits your needs and interests.

Topics covered in statistics courses can include: data collection and analysis, probability, statistics for business and economics, and mathematical statistics. Statistics courses can be taken at many different levels, from introductory courses to more advanced courses that cover more specialized topics. Choosing the right statistics course can help you get the most out of your studies and prepare you for a successful career in statistics.

Certstaffix Training offers short 1-day Business Statistics training courses designed to help corporate employees interpret data from various sources. Browse our Statistics classes now or contact us to find out more.

What do you do in business statistics class?

A: In a business statistics course, you can expect to receive training on how to collect, organize, analyze, and interpret data. You'll also learn how to use statistical methods to make informed decisions in the business world. The specific topics covered in a business statistics course will vary depending on the instructor and the level of the course, but generally speaking, you can expect to gain a strong foundation in statistics and its applications in business.

Whether you're interested in taking a statistics course for yourself or looking to get ahead in your career, Certstaffix Training can help. Our Business Statistics courses cover all the essential topics, from probability and statistical inference to regression and time series analysis. You'll learn how to use statistical software packages to make sense of data, and you'll come away with a strong foundation in statistical methods and concepts.

What are the topics in business statistics?

A: Business Statistics courses typically cover a wide range of topics to provide students with a comprehensive understanding of the subject.

These may include:

  • collecting data
  • organizing data
  • summarizing data
  • analyzing data
  • interpretation of data
  • making predictions based on data
  • decision making based on data.
  • using statistical software to analyze data

Business Statistics classes often use statistical software to help students analyze data. This software can be used to:

  • collect data
  • organize data
  • summarize data
  • analyze data
  • interpret data
  • make predictions based on data

Business Statistics training may also cover software topics such as:

  • using Excel for business statistics
  • using SPSS for business statistics
  • using Minitab for business statistics

Certstaffix Training offers Business Statistics training online and onsite for groups. Browse our courses now.

Is business statistics a hard class?

A: Business Statistics can be a difficult class for students who are not well-versed in mathematics. The course covers a lot of material and can be challenging for those who are not used to working with numbers. However, Business Statistics is a critical subject for students who want to pursue a career in business. With the right approach, business statistics can be a manageable and even enjoyable class.

Certstaffix Training offers a series of short 1-day Business Statistics courses to get you up to speed quickly. Browse our available courses or contact us with any questions today.

What are the top Statistics skills?

A: Some of the top Statistics skills include the ability to collect, organize, and analyze data. Additionally, those with strong statistical skills can use those skills to make predictions or recommendations based on their findings. Finally, individuals with excellent statistics skills can effectively communicate their findings to others. Effective communication is critical in order to ensure that others can understand and utilize the information that has been gathered.

Where Can I Learn More About Business Statistics?

Business Statistics Blogs

Business Statistics User Groups

Business Statistics Online Forums

Explore Statistics Training Classes Near Me:

Certstaffix Training provides Business Statistics classes near me or online, depending on the number of students involved. We offer online courses for individual learners, as well as in person classes at your office for corporate groups. Our trainers are highly experienced professionals with the expertise necessary to help you gain a thorough understanding of Business Statistics concepts and tools. With our courses available online for individuals or in person for corporate groups, it's easy to develop your Business Statistics skills. Start learning today and see how Certstaffix Training can help you reach your goals.







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