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Introduction to Data Analysis
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Introduction to Data Analysis

at ASPE Inc. - Burlington

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$1,495
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Location:
Burlington
25 Burlington Mall Rd 2nd Fl
Btwn S Bedford St & Burlington Woods Dr
Burlington, Massachusetts 01803
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Description
Class Level: Intermediate
Age Requirements: 18 and older
Average Class Size: 12

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, we begin our introduction by examining  the history of Business intelligence, 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

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Refund Policy
We pride ourselves on providing unsurpassed training experiences and industry-leading customer service. All courses carry a 100% quality guarantee. If for any reason you are not satisfied with a program, simply notify the instructor or your ASPE training advisor of your intent to withdraw prior to the first morning break, turn in your materials, and receive a full refund. If at the end of the first day of class you are unsatisfied with the program, we will credit your tuition towards a future program of your choice.

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School: ASPE Inc.

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...

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