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ONLINE

CERTIFIED DATA ANALYSIS PROFESSIONAL

- 1,350 USD -

ONLINE

CERTIFIED DATA ANALYSIS PROFESSIONAL

The course provides you the knowledge required for understanding distinct methods used in analyzing data, statistical interpretation of quantitative and qualitative data, and becoming proficient in using key Microsoft Excel features, by building frequency and conditional tables, creating different types of charts, finding correlations and relationships between variables, hypothesis testing and statistical modeling.

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KEY FEATURES

Modules: 15

Learning process estimated duration: 40 hours

Pre-course stage: 4 Hours

Course course stage: 24 hours, consisting of:

Video presentation: 3 hours
Practical assignments and exam preparation: 20 hours
Evaluation: 1 hour

After-course stage: 12 hours

Language: English

Instruction method: self-paced

Availability: anytime

GET CERTIFIED WITH US

The Data Analysis Certification is an accreditation that endorses you both for the knowledge and practical application of best practices used in analyzing statistical data.

The certification is the result of a complex, experiential learning program that has 3 sections: pre-course activities, core-course exercises and post-course assignments.

You will acquire the tools and skills needed to develop complex data analysis, useful for the processing and interpretation of data and relevant for your company's profile.

Validate your expertise!

Bonus: Premium subscription on smartKPIs.com - Available for 6 months, providing access to 500 fully documented KPIs and over 20.000 KPIs enlisted and one research report from the Top 25 KPIs series.

BENEFITS

Obtaining the most relevant data, by setting up a customized data analysis process;

Understanding the data analysis process, its methodology, and logical framework;

Obtaining the necessary knowledge to analyze complex data and to interpret results;

Improving the organization’s decision-making process, by gaining knowledge on data analysis and interpretation;

Receiving the management team’s buy-in, by sharing with them the utility of implementing a customized data analysis methodology in daily business activities.

Access a free learning module on Performance Measurement Maturity Assessment.

TARGET AUDIENCE

Professionals interested in Data Analysis

The course is designed for anyone who has basic mathematical training and basic competences in using Microsoft Excel. Statistical knowledge, intermediate or advanced knowledge of Excel, practical experience with data analysis and related duties are not necessary.

Management Representatives

The course is addressed to Managers, HR Representatives, Analysts, Auditors or Logistics and Acquisitions Experts, as well as to professionals from other business areas, who deal with data analysis.

Data Analysis Experts

The course is ideal for those interested in pursuing career opportunities in data analysis, data modelling and related activities (e.g. campaign management, data mining, statistics, risk management, reporting, data processing for survey analysis etc.)

WHAT OUR CLIENTS SAY

FACILITATOR

Ágnes Ilyés
Subject Matter Expert
The KPI Institute

Ágnes holds valuable experience in data analysis, as during both her university and working years she had participated in numerous marketing related research projects where survey based primary researches were conducted and a lot of data were evaluated.

She mainly uses SPSS statistical program to analyze data. She has experience with the following analyses: Chi2 analysis, Variance analysis, Correlation analysis, t-test, factor- and cluster analysis.

Ágnes also deepened her knowledge by teaching interferential statistics as an external lecturer on the university, on economics and business administration faculty, marketing specialization.

As a Business Research Analyst at the KPI Institute she also has numerous possibilities to capitalize her experience in this field.

AGENDA

Module 1

Business Understanding

What Is Data Analysis?
Types of Data Analysis
Data Analysis Process
Data Governance
Data Analysis and its Benefits in Business.
Module 1 Review.

Module 2

Data Collection

Types of Data
How to Collect Data?
Primary Data Collection Methods
Secondary Data Collection Methods
Module 2 Review.

Module 3

Data Preparation

Types of Data Sets
Data Quality
Data Cleaning
Data Aggregation
Module 3 Review

Module 4

Data Exploration

Frequency Tables
Quantitative Charts
Qualitative Charts
Structure Charts
Module 4 review.

Module 5

Descriptive Statistics

Univariate Analysis
Bivariate Analysis
Module 5 Review.

Module 6

Sampling

Population and sample
Why to Sample?
Sampling techniques
Sample Size Determination
Module 6 Review.

Module 7

Estimation of Population

Sampling Distribution
Central Limit Theorem
Normal Distribution and T-Distributions
One-Tailed vs Two Tailed
Interval Estimation
Module 7 Review.

Module 8

Hypothesis Testing

Hypothesis Testing Procedure
Types of Errors
Level of Significance
Test Statistic
Types of Hypothesis Testing
Module 8 Review.

Module 9

Z-Test and T-test

Z-Test Statistics and T-Test Statistic
One Sample Hypothesis Testing
Two Independent Samples Hypothesis Testing
Paired Samples Hypothesis Testing
Module 9 Review.

Module 10

ANOVA Test

When to perform ANOVA Test
F-Distribution
Three or more Independent Samples Hypothesis Testing
F-Statistic
Module 10 Review.

Module 11

Chi-Square Tests

Chi-Square Test
Chi-Square Distribution
Goodness of Fit Test
Test of Independence
Module 11 Review.

Module 12

Regression Analysis

Least Squares Method
Simple Linear Regression Model
Coefficient of determination and Correlation
Standardization
Homogeneity
Outliers
Module 12 Review.

Module 13

Multiple Regression

Multiple Regression
Multiple Coefficient of Determination
Testing for Significance
Multicollinearity
Variance Inflation Factor
Module 13 Review.

Module 14

Time Series

Trend Analysis
Cyclical Component
Seasonal Component
Irregular Component
Moving Average
Module 14 Review.

Module 15

Revision

Business Understanding
Data Collection and Preparation
Data Exploration
Statistical Analysis
Regression Analysis
Time Series

LEARNING EXPERIENCE

Pre course

This part of the learning experience is meant to ensure a smooth transition to the face to face training. Participants are required to take the following steps:

Needs assessment - complete a questionnaire to determine a tailored and relevant learning experience;

Pre-course evaluation quiz - take a short quiz to establish your current level of knowledge;

Guidance and schedule - analyze a document presenting guidelines on how to maximize your learning experience;

Forum introduction - share an introduction message to present yourself to the other course participants;

Expectations - share your expectations regarding the training course;

Pre-requisite reading - go through a series of documents to better understand the core course content.

Core course

The 15 modules represent a mix of videos and assignments that need to be realized either by matching, filling the blanks, or completing and submitting some templates. The slides corresponding to each video are available in PDF format. Also, each module ends with a quiz, meant at assessing the knowledge gained so far. The course ends by taking the online Certification Exam. It contains 75 questions and the necessary score to pass is minimum 50.

The Certified Data Analysis Professional training course provides an interactive practice-based learning environment in which participants focus on:

Establishing customized models for data analysis based on your organization's requirements;

Gaining knowledge on basic (and advanced) data analysis concepts and statistical instruments;

Applying the knowledge gained in practical exercises, aimed at strengthening the learning process.

Achieve processes clarity and strategy optimization by implementing data analysis frameworks;

Optimize the performance reporting processes by closing the gaps found in the data analysis tools;

Attain superior results by implementing data analysis procedures.

After course

The learning process is not finalized when the core course ends. In order to benefit from a complete learning experience, participants are also required to take the following steps:

Forum discussions - initiate a discussion on the forum and contribute in a discussion opened by another participant;

Action plan - create a plan for the actions and initiatives you intend to implement after the training course;

In-house presentation - create and submit a short PowerPoint presentation to share the knowledge acquired within the training course with your colleagues;

Additional reading - go through a series of resources to expand your content related knowledge;

Learning journal: reflect upon your 3 stages learning experience and complete a journal.

Evaluation

The certification process is finalized only when you complete all the 3 stages of the learning experience. You will receive the Certified Data Analysis Professional diploma after you have successfully completed all the 3 stages of the learning experience. This certifies the skills and knowledge related to performance measurement field.

FAQ

What is the difference between the face-to-face course and the online course?

The course structure is the same, regardless of the delivery method. However, the autonomy given by the self-paced instruction is balanced by the lack of live interaction with the facilitator and other participants while attending.

What are the prerequisites for taking a course?

There are no prerequisites required.

Who should I contact if I have questions throughout the course?

You can communicate with your instructor through the eLearning forum or by email. You are highly encouraged to use these ways of communications.

How do I register for an online course?

You can register for an online course the same way you would register for any training course organized by The KPI Institute.
If you enroll through The KPI Institute Marketplace, after paying the course fee, you will receive a confirmation email containing the instructions and the credentials to access your online course.
If you enroll by fax or telephone, you will also receive your confirmation and instructions by email.

Where and how can I access the e-learning content? Are there any limitations?

Once you register with us for a course by paying the course fee, you can have 24/7 access to the e-learning content on our website. An automated course purchase confirmation email from our side will guide you through the process.

How can I download course materials?

Downloadable course materials are available on our eLearning Platform. These include course slides, assignment templates and supplemental documents that will help you brush up or dive deeper on concepts within that course. However, video presentations are not available for download.

What kind of computer equipment do I need in order to take an online course?

Operating Systems: Windows 7 and newer, Mac OSX 10.6 and newer, Linux - chromeOS.

Browsers: You must update to the newest version of whatever browser you are using. We recommend using Chrome, Firefox or Safari, beta versions of browsers are not supported and Internet Explorer is problematic. Please make sure that your web browser has JavaScript and cookies enabled.

Who do I contact for technical support?

If you are experiencing technical difficulties, contact our Customer Service team: [email protected] or +61 3 9028 2223