Mastering Data Analysis in Excel certification is an online course that is offered with a collaborative effort of Duke University, and Coursera. The main focus of this Excel to MySQL: Analytic Techniques for Business Specialization, 6 weeks course is only data analysis and not Excel. Excel along with mathematical calculations are performed but other intermediaries or advanced concepts like a pivot table in Excel are not covered.
Mastering Data Analysis in Excel training will help the candidates design and put predictive models to use. Later on, with this course, a participant will be assuming a business data analyst’s role in a bank. This will teach them to reduce default risks, and then maximize the profits of a bank in various ways. The curriculum is a mix of practical, and also theoretical ways that will help develop ideas related to their choice of business. Any data that the candidates are provided for their assignments will be completed only using MS Excel so that they get to practice, and become familiar, and fluent with business functions in Excel.
The Highlights
3 weeks programme
100% online course
21 hours of classes
Beginner level course
Self-learning course
9 subtitles available
Certificate by Coursera
Programme Offerings
Online Course
Shareable Certificate
Flexible Deadlines
Graded Assignments
English Course
9 Subtitles Available
Lectures
videos
Readings
Practice Exercises
Discussion Forums.
Courses and Certificate Fees
Certificate Availability
Certificate Providing Authority
yes
Coursera
The Mastering Data Analysis in Excel certification fee is Rs. 4,085 that includes certificates, and unlimited access to the particular specialization. After enrollment, during the first week, everything is accessible for free. The fee then starts to get charged on a subscription basis which is monthly.
Mastering Data Analysis in Excel Fee Structure
Course name
Fee in INR
Audit mode
Free
Mastering Data Analysis in Excel (1 month)
Rs. 4,115
Mastering Data Analysis in Excel (3 months)
Rs. 8,230
Mastering Data Analysis in Excel (6 months)
Rs. 12,345
Eligibility Criteria
Educational Qualification
Languages like Spanish, English, German, Vietnamese, Russian, Italian, Portuguese (European), and Arabic, French, if known by the candidates may be helpful.
Certification Qualifying Details
Finishing 5 weeks of learning, and the final 6th-week quiz and the peer assessment will ensure the Mastering Data Analysis in Excel certification by Coursera to its successful applicants.
What you will learn
Knowledge of Excel
Mastering Data Analysis in Excel certification syllabus encompasses the following:
Mastering the knowledge related to data analysis concepts using Microsoft Excel features.
Data analysis results must not be considered by all decision-makers for eliminating uncertainty.
Candidates can learn to calculate, and then apply real-world examples for important uncertainty measures that can be used in businesses.
Who it is for
The course is very much suitable for anyone who requires a better understanding related to how the best marketplace decisions are made using data management process in Excel,
Admission Details
The Mastering Data Analysis in Excel admission process is as follows:
Step 1: Visit the official website: https://www.coursera.org/learn/analytics-excel
Step 2: The button ‘Join For Free’, which is situated on the home page right corner must be clicked by the participants.
Step 3: During the 3rd step, a necessary thing to be done by the participants is making Coursera accounts.
Step 4: Fourthly, candidates will have to start with fee payment, and opt for financial aid.
Step 5: Admission is given as the above four steps are done.
Application Details
Applying to the Mastering Data Analysis in Excel online course requires just a few minutes time provided the candidates have proper internet connectivity. Candidates are asked to use their personal or professional email addresses for signing up with Coursera.
The Syllabus
Videos
About This Specialization
Introduction to Mastering Data Analysis in Excel
Readings
Specialization Overview
Course Overview
Videos
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
Reading
Tips for Success
Assignments
Excel Essentials Practice
Excel Essentials
Videos
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
Readings
Tips for Success
Assignments
Binary Classification (practice)
Binary Classification (graded)
Vidoes
Quantifying the Informational Edge
Probability and Entropy
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
Reading
Tips for Success
Assignments
Using the Information Gain Calculator Spreadsheet (practice)
Information Measures (graded)
Videos
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
Readings
Tips for Success
Practice Exercises
The Gaussian (practice)
Regression Models and PIG (practice)
Parametric Models for Regression (graded)
Assignments
Parametric Models for Regression (graded)
The Gaussian (practice)
Regression Models and PIG (practice)
Videos
Describing Histograms and Probability Distributions Functions
Some Important and Frequently Encountered PDFs
Linear Regression with More than One Input Variable
Understanding Why Over-fitting Happens
Reading
AUC Calculator Explanation and Spreadsheet
Assignment
Probability, AUC, and Excel Linest Function
Videos
Final Project Information: Part 1
Final Project Information: Part 2
Readings
Final Project Information
Summary of Learning Points for Final Project: Quiz 1
Summary of Learning Points for Final Project: Quiz 2
Assignments
Part 1: Building your Own Binary Classification Model
Part 2: Should the Bank Buy Third-Party Credit Information?
Part 3: Comparing the Information Gain of Alternative Data and Models
Part 4: Modeling Profitability Instead of Default
Peer Review
Part 5: Modeling Credit Card Default Risk and Customer Profitability
Evaluation process
During the final week, a student has to attend 10-12 hours of peers assessment, and a final quiz for earning the completion certificate.