Mastering Data Analysis in Excel

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The role of a Data Analyst is to reduce uncertainty for decision-makers by a financially valuable increment while quantifying the residual uncertainty. Currently, the industry puts special emphasis on using Excel for Business Analytics due to the turnout of efficient and accurate results. As the name suggests, the Data Analysis in Excel course does not focus on Excel, but rather on mathematics. It trains participants on designing and implementing realistic predictive models based on data.

ELIGIBILITY: Since the Introduction to Data Analysis using Excel is performed from scratch, applicants for the course do not require a lot of skills. The minimum requirement is a Bachelor’s degree from any discipline.

CAREER OPPORTUNITIES:

Market Trends: According to the BLS, the employment drive for Data Analysts is predicted to increase by 25% from 2019 to 2029, indicating the growth of career opportunities for skilled data analysis professionals. Opting for a Data Analysis in Excel course now can even bring top market players like Facebook, IBM, and Amazon to your doorstep.

Salary Trends: According to data from slaryexplorer.com, a Data Analyst in Dubai typically earns around 19,500 AED per month. That is because, statistically, the salary of a Data Analyst is significantly higher than that of professionals who belong to other software disciplines. Taking a Data Analysis in Excel course can boost your demands in the industry owing to the freshly acquired skills.

Demand and Opportunities: A Data Analyst is certified to scrutinize information using data analysis tools to make important decisions by identifying various facts and trends. Thanks to the gradual adoption of data analytics in the market, the career scope of professionals versed in Big Data shows promise. The Mastering Data Analysis in Excel certification guarantees competency in the relevant roles.

COURSE OUTLINE:

Overview

  • Specialization Overview
  • Introduction to Mastering Data Analysis in Excel

Excel Essentials

  • Introduction to Using Excel in this Course
  • Basic Excel Vocabulary; Intro to Charting
  • Arithmetic in Excel
  • Functions on Individual Cells
  • Functions on a Set of Numbers
  • Functions on Ordered Pairs of Data
  • Sorting Data in Excel
  • Introduction to the Solver Plug-in

Binary Classification

  • Introduction to Binary Classification
  • Bombers and Seagulls: Confusion Matrix
  • Costs Determine Optimal Threshold
  • Calculating Positive and Negative Predictive Values
  • How to Calculate the Area Under the ROC Curve
  • Binary Classification with More than One Input Variable

Information Measures

  • Quantifying the Informational Edge
  • Probability and Entropy
  • The Entropy of a Guessing Game
  • Dependence and Mutual Information
  • The Monty Hall Problem
  • Learning from One Coin Toss, Part 1
  • Learning From One Coin Toss, Part 2

Linear Regression

  • Introducing the Gaussian
  • Introduction to Standardization
  • Standard Normal Probability Distribution in Excel
  • Calculating Probabilities from Z-scores
  • Central Limit Theorem
  • Algebra with Gaussians
  • Markowitz Portfolio Optimization
  • Standardizing x and y Coordinates for Linear Regression
  • Standardization Simplifies Linear Regression
  • Modeling Error in Linear Regression
  • Information Gain from Linear Regression

Additional Skills for Model Building

  • Describing Histograms and Probability Distributions Functions
  • Some Important and Frequently Encountered PDFs
  • Linear Regression with More than One Input Variable
  • Understanding Why Overfitting Happens

KEY TAKEAWAYS:

Successful completion of the Excel Data Analysis course will enable participants to:

  • Gain a proper introduction to Data Analysis using Excel
  • Comprehend the root aspects of Microsoft Excel and Data Analysis
  • Develop and execute data-based realistic predictive models
  • Gain fluency in MS Excel functions to successfully use Excel for Business Analytics
  • Acquire practical experience in applying various methods of Business Data Analysis

ACCREDITATION:

Our Excel for Data Analysis course is accredited by ISO 9001: 2015 and the Knowledge and Human Development Authority (KHDA).

ALUMNI: Academy graduates of our Data Analysis in Excel course in Dubai are successfully placed in some of the top-notch companies like Jumeirah, Aramex, Airarabia, Damac, Emaar, etc. They are entrepreneurs, career changers, and lifelong learners.

WHY LEARNER’S POINT:

As the leading provider of the Excel Data Analysis course, we at Learners Point help professionals master the skills required for the relevant industry.

The USPs our specialized Excel for Data Analysis course offers you are as follows:

  • While the group sessions we offer contributes to team bonding, our Mastering Data Analysis in Excel training also provides an individual learning experience for enhancing the quality of the training program
  • We take into consideration real-world scenarios faced by industries and offer respectively calculated training through our Data Analysis in Excel training in Dubai
  • Our Mastering Data Analysis in Excel training is designed to sharpen the efficiency of professionals so they can settle into required or desired roles with ease
  • One of the most remarkable features of our Data Analysis in Excel training in Dubai is that it consists of assignments related to the actual work environment to give participants a taste of the hands-on experience required for the corporate industry
  • Aside from theoretical knowledge, our Mastering Data Analysis in Excel training also focuses on case studies to train prospective professionals for practical exposure

About the instructor

Learners Point incorporates highly proficient and exceptionally trained instructors who adopt an innovative approach to impart high-quality training and instruction to our students. We offer comprehensive training with ample support from our globally recognized industry experts, who hold a diverse set of experiences in their field of specialization. Our instructors design practical and distinctive training models to assist participants in developing their abilities and enhancing their knowledge in respective fields. They also encourage students to develop communication and interpersonal skills necessary to excel in the practical world. With the guidance and insight of our trainers, we prepare our students for challenging roles in the future.

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