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This three-day course leverages straightforward business examples to explain practical techniques for understanding and reviewing data quality.
This course, organized into key topic areas, leverages straightforward business examples to explain practical techniques for understanding and reviewing data quality and how to translate data into analysis of business problems to begin making informed, intelligent decisions. Get an overview of data quality and data management, followed by foundational analysis and statistical techniques. Throughout the course, you will learn to communicate about data and findings to stakeholders who need to quickly make the decisions that drive your organization forward. This data analysis training class is a lively blend of expert instruction combined with hands-on exercises so you can practice new skills. Leave prepared to start performing practical analysis techniques the moment you return to work.
Category
ID
Duration
Level
Price
Business Analysis
13412
3 Day(s)
Foundation
$1,900.00
Objectives
Lesson objectives help students become comfortable with the course, and also provide a means to evaluate learning. Upon successful completion of this course, students will be able to: · Identify opportunities, manage change and develop deep visibility into your organization · Understand the terminology and jargon of analytics, business intelligence and statistics · Learn a wealth of practical applications for applying data analysis capability · Visualize both data and the results of your analysis for straightforward graphical presentation to stakeholders · Learn to estimate more accurately than ever, while accounting for variance, error, and Confidence Intervals · Practice creating a valuable array of plots and charts to reveal hidden trends and patterns in your data · Differentiate between "signal" and "noise" in your data · Understand and leverage different distribution models, and how each applies in the real world · Form and test hypotheses – use multiple methods to define and interpret useful predictions · Learn about statistical inference and drawing conclusions about the population
Part 1: The Value and Challenges of Data-Driven Disruption 1. Objectives and expectations 2. Hurdles to becoming a data-driven organization 3. Data empowerment 4. Instilling data practices in the organization 5. The CRISP-DM model of data projects Part 2: Tying Data to Business Value 1. What constitutes data-driven value 2. Requirements gathering: How to approach it 3. Kanban for data analysis 4. Know your customers 5. Stakeholder cheat sheets · EXERCISE: Data-driven project checklist · LAB: Data analysis techniques: Aggregations Part 3: Understanding Your Data 1. Data defined 2. Data versus information 3. Types of data 1. Unstructured vs. Structured 2. Time scope of data 3. Sources of data 4. Data in the real world 5. The 3 V’s of data 6. Data Quality 1. Cleansing 2. Duplicates 3. SSOT 4. Field standardization 5. Identify sparsely populated fields 6. How to fix common issues · LAB: Prioritizing data quality Part 4: Analyzing Data 1. Analysis foundations 1. Comparing programs and tools 2. Words in English vs. data 3. Concepts specific to data analysis 4. Domains of data analysis 5. Descriptive statistics 6. Inferential statistics 7. Analytical mindset 8. Describing and solving problems 2. Averages in data 1. Mean 2. Median 3. Mode 4. Range 3. Central tendency 1. Variance 2. Standard deviation 3. Sigma values 4. Percentiles 4. Demystifying statistical models 5. Data analysis techniques · LAB: Central tendency · LAB: Variability · LAB: Distributions · LAB: Sampling · LAB: Feature engineering · LAB: Univariate linear regression · LAB: Prediction · LAB: Multivariate linear regression · LAB: Monte Carlo simulation Part 5: Thinking Critically About Your Analysis 1. Descriptive analysis 2. Diagnostic analysis 3. Predictive analysis 4. Prescriptive analysis Part 6: Data Analysis in the Real World 1. Deployment of analyses 2. Best practices for BI 3. Technology ecosystems 1. Relational databases 2. NoSQL databases 3. Big data tools 4. Statistical tools 5. Machine learning 6. Visualization and reporting tools 4. Making data useable Part 7: Data Visualization & Reporting 1. Best practices for data visualizations 1. Visualization essentials 2. Users and stakeholders 3. Stakeholder cheat sheet 2. Common presentation mistakes 3. Goals of visualization 1. Communication and narrative 2. Decision enablement 3. Critical characteristics 4. Communicating data-driven knowledge 1. Formats and presentation tools 2. Design considerations Part 8: Hands-On Introduction to R and R Studio 1. What is R? · LAB: Intro to R Studio · LAB: Univariate linear regression in R · LAB: Multivariate linear regression in R
Questions?
Associate Certified Analytics Professional (aCAP) Certified Analytics Professional Microsoft Certified Data Analyst Associate
If you have basic familiarity with Excel, this three-day course can teach you practical applied analysis techniques to leverage data for relatively common decision-making methods.
Data Analysis Boot Camp Video
Class Schedule
Live Online
Course Overview
Training Delivery Methods
With Productivity Point, you will have a spectrum of delivery methods to choose from... when where and how you like it. Whether it's in a classroom or online, we have a delivery option to meets your needs.
Classroom Live
Classroom Virtual
Private Group
On Demand
Classroom Live Training
Get in-person, hands-on instruction with live lab exercises taught by subject matter experts who deliver authorized and industry-leading content.
With classrooms in almost every major U.S. city, Productivity Point has something for users of every level, so you can earn the most popular industry certifications. You get hands-on learning experience with live lab exercises taught by experienced instructors. We proudly advocate our learning services to be hosted by the best-qualified trainers in terms of technical knowledge and teaching skills.
Classroom Virtual Training
Prefer to have a dedicated classroom for your virtual experience? Attend live, hands- on training via remote instructor from one of Productivity Point’s multiple locations.
Enjoy a focused and professional training environment, including all technical equipment provided along with administrative and technical support at your fingertips. With over 150 locations to choose from, review our course catalog or contact your personal Productivity Point Account Manager to see if the course you have in mind is delivered at one of our dedicated virtual classrooms in your area.
Live Online Training
Blend the best from traditional face-to-face instructor-led training with the latest in conferencing technology.
Private Group Training
Your private group classroom experience will not only take place in the location of your choice (including any of our training centers), but you will enjoy the following amenities:
On-Demand Learning
On-Demand is an IT training solution designed around your schedule, budget, and learning needs. Combining high-quality video, reading, and knowledge checks in a self-paced format, On-Demand helps you build skills as your schedule allows—all at once or five minutes at a time.
With On-Demand, you learn at your own pace and in the convenience of your own space.
With Learn at your own pace…
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