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Introduction to Data Analysis

Data analysis and analytics are evolving disciplines. We constantly hear about big data, prediction, AI, and modeling techniques. However, advanced techniques rest on fundamentals which can be...

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$1,295 USD
Duration 2 days
Course Code DATALYTICS
Available Formats Classroom

Overview

Data analysis and analytics are evolving disciplines. We constantly hear about big data, prediction, AI, and modeling techniques. However, advanced techniques rest on fundamentals which can be applied in many job roles. This class quickly equips you with that foundation. Whether you're charting your overall business intelligence strategy or performing analysis yourself, these basic tools and techniques rapidly inform effective decision-making. In this fast-paced introductory workshop, we'll examine the history of business intelligence, its relationship to data analysis, and why the two are needed to help businesses deliver a complete assembly of the 'data puzzle'. We'll also address hurdles teams face when dealing with data overload and suggests some possible solutions. Amid an ongoing explosion of data, there's also a greater need to understand who is qualified to correctly analyze data. We will explore the qualifications of data analysts as well as the analytic tools available for those people to use associated with the position. Please note: Exercises in this course are not compatible with Excel in a web browser. Please make sure you have a version of Excel locally downloaded on your computer or access to Excel via Microsoft 365. This course has been submitted, reviewed, and approved by the International Institute of Business Analysis (IIBA) to award CDUs for attendance.

Skills Gained

  • Measure business performance.
  • Identify improvement opportunities for business processes.
  • Describe the need for tracking and identifying the root causes of deviation or failure.
  • Use the principles, properties, and application of Probability Theory.
  • Discuss data distribution including central tendency, variance, normal distribution, and non-normal distributions.
  • Draw conclusions about a data population using statistical inference.
  • Forecast trends using simple linear regression analysis.
  • Perform accurate analysis after learning about sample sizes and confidence intervals and limits, and how they influence the accuracy of your analysis.
  • Explore different methods and easy algorithms for forecasting future results and to reduce current and future risk.

Who Can Benefit

Anyone involved in operations, project management, business analysis, or management who needs an introduction to data analysis, would benefit from this class. Please note: Exercises in this course are not compatible with Excel in a web browser. Please make sure you have a version of Excel locally downloaded on your computer or access to Excel via Microsoft 365. Professionals who may benefit include:

  • Business Analyst, Business Systems Analyst, Staff Analyst
  • Those interested in CBAP®, CCBA®®, or other business analysis certifications
  • Systems, Operations Research, Marketing, and other Analysts
  • Project Manager, Team Leads, Project Leads, Project Assistants, Project Coordinators
  • Those interested in PMP®, CAPM®, or other project management certifications
  • Program Managers, Portfolio Managers, Project Management Office (PMO) staff
  • Data Modelers and Administrators, DBAs
  • Technical & other Subject Matter Experts (SMEs)
  • IT Staff, Manager, VPs
  • Finance Staff, Manager
  • Operations Analyst, Supervisor
  • External and Internal Consultants
  • Risk Managers, Operations Risk Professionals
  • Operations Managers, Line Managers, Operations Staff
  • Process Improvement, Compliance, Audit, & other Governance Staff
  • Thought Leaders, Transformation & Change Champions, Change Manager
  • Executives, Directors, & other senior staff exploring cost reduction and process improvement options
  • Executive and Administrative Assistants and Coordinators
  • Job seekers and those who want to show dedication to data analysis and process improvement
  • Leaders at all levels who wish to increase their Data Analysis capabilities

Course Details

Course Outline

  • Part 1: Data and Information
  • Part 2: Data Analysis Defined
  • Part 3: Types of Variables
  • Part 4: Central Tendency of Data
  • Part 5: Basic Probability
  • Part 6: Distributions, Variance, and Standard Deviation
  • Part 7: Fitting Data
  • Part 8: Predictive Analytics Overview

Schedule

FAQ

Does the course schedule include a Lunchbreak?

Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does Ascendient Learning deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

What does vendor-authorized training mean?

As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.

Is the training too basic, or will you go deep into technology?

It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.

How up-to-date are your courses and support materials?

We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.

Are your instructors seasoned trainers who have deep knowledge of the training topic?

Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.

Do you provide hands-on training and exercises in an actual lab environment?

Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.

Will you customize the training for our company’s specific needs and goals?

We will work with you to identify training needs and areas of growth.  We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.

How do I get started with certification?

Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.

Will I get access to content after I complete a course?

You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.

How do I request a W9 for Ascendient Learning?

View our filing status and how to request a W9.

Reviews

The tool provided to practice the course teachings is very functional and easy to use.

Course was great and informative. The instructor had a good flow and was very personable.

The class was very vast paced however the teacher was very good at checking in on us while giving us time to complete the labs.

I was very satisfied about how the course was organized. Sean Did a very good work

I like their training. A lot of material covered. The labs are very good. l learned a lot.