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Introduction to Data Analysis

  • Beginner
  • 18 and older
  • $1,495
  • Earn 14,950 reward points
  • Live Instructor-Led Online Training
  • 16 hours over 2 sessions
Introduction to Data Analysis
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  • $1,495
  • 16 hours over 2 sessions
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Class Description

Description

What you'll learn in this data analyst training:

Data Analysis is an ever-evolving discipline with lots of focus on new predictive modeling techniques coupled with rich analytical tools that keep increasing our capacity to handle big data. However, in order to chart a coherent path forward, it is necessary to understand where the discipline has come from since its inception.

The field of Business intelligence depends largely on Data analysis tools and techniques in order to inform effective decision making. In fact, the disciplines are so intertwined that some often confuse the two. Therefore, its relationship to data analysis, and why the two are needed to help businesses deliver  a complete assembly of their 'data puzzle'. This module also addresses some of the hurdles businesses face when dealing with data overload, and suggests some possible solutions to the problem.

With the explosion of big data, businesses recognize there is a greater need for employing someone who is qualified to correctly analyze the data. In this module, we  explore the qualifications  for the data analyst as well as the analytic tools associated with the position. It is unfortunate that there is such a dearth of data analysts. With a projected shortage of 190,000 data science jobs into 2018, it is no wonder that businesses are scrambling to recruit talent.
  • Learn the terms, jargon, and impact of business intelligence and data analytics.
  • Gain knowledge of the scope and application of data analysis.
  • Explore ways to measure the performance of and improvement opportunities for business processes.
  • Be able to describe the need for tracking and identifying the root causes of deviation or failure.
  • Review the basic principles, properties, and application of Probability Theory.
  • Discuss data distribution including Central Tendency, Variance, Normal Distribution, and non-normal distributions.
  • Learn about Statistical Inference and drawing conclusions about a Data Population.
  • Learn about Forecasting, including introduction to simple Linear Regression analysis.
  • Learn 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.
Course Outline:
  1. What are BI and DA?
  2. Data Here, There, and Everywhere!
  3. Got Data? The Unique Role of the Data Analyst
  4. Fact- Based Decision Making Process
  5. Big Data Anatomy
  6. Getting to Know Your Data
  7. The Fundamental Ways we use data Visualization techniques
  8. Displaying Tabular Data in Excel
  9. Using Charts and Graphs to Communicate Data
  10. Using Numerical Descriptives to Summarize Data
  11. Probability: Quantifying Uncertainty
  12. The Normal Distribution
  13. Correlation and Regression

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

Refund Policy

Virtual Training

  • Participants who cancel less than 7 business days before the start of class, or do not attend class without prior written notice will forfeit their tuition.
  • If a participant requests to reschedule their class within 7 business days, their tuition will not be refundable, and a $200 administrative fee is required to enroll in a new session.
  • Participants are eligible for a tuition refund only when requested more than 7 business days before class starts.

In-Person Training

  • Participants who cancel less than 12 business days before the start of class, or do not attend class without prior written notice will forfeit their tuition.
  • If a participant requests to reschedule their class within 12 business days, their tuition will not be refundable, and a $200 administrative fee is required to enroll in a new session.
  • Participants are eligible for a tuition refund only when requested more than 12 business days before class starts.

Please note:

  • All training (virtual or in person) must be rebooked for a new class date starting no later than one year of the date of the originally scheduled class.
  • If you do not rebook your class within one year of the originally scheduled class, your credit will be forfeited.
  • You may use the credit for a different course modality, including self-paced learning, if available.
  • Partner-delivered courses may be subject to different cancellation terms.

For questions please contact us via email at [email protected]

Substitute Participants

Substitute participants are permitted at no extra cost for the course and date of the original registration. If the substitution results in a change of course and/or date it will be deemed a request to reschedule training. Please see the section above for rescheduling fees payable.

In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.

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ASPE Inc.

ASPE is a national leader in providing skills-based training solutions on the Systems/Software Development Lifecycle, Security, and IP Telephony. Based in Cary NC, ASPE offers both public and on-site delivery solutions. ASPE's On-site Delivery Practice focuses on delivering tailored or customized courses...

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ASPE Inc.

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