MACHINE LEARNING (ML) involves
training computers, through repeated presentation of observations and outcomes, to make predictions that are not obvious to a person.
data, involving extracting data from relational databases (e.g., SQL Server, Oracle) and presenting findings as reports and corporate dashboards.
too large to be processed using standard (e.g., workstation, single server) tools. Popular platforms include Hadoop, Spark, and Tableau.
A VI DAT
BIG
Defining the Pieces of the Data Puzzle
BIG DATA describes working with data that is
DAT A
INTE ARTIFIC LLIG IAL ENC E (A I)
TICS ALY
A AN DAT
MACHINE LEARNING
DATA ANALYTICS is the most common use of
DECISION ANALYSIS is the process
N ATIO
LIZ SUA
of applying a standardized and tested methodology for decision-making which helps organization make decisions more easily and transparently.
SKILLS NEEDED
RELEVANT JOB TITLES
• Expertise modeling techniques/tools • Understanding the statistical basis of algorithms • Programming (Python or other ML language) • Work closely with data scientists to ensure machine learning technology delivers results for the organization
Data Scientist Machine Learning Engineer AI Engineer Marching Learning Researcher Machine Learning Developer Data Engineer
2
7
• Manipulate databases using SQL • Use dashboard tools and design effective dashboards • Utilize statistical tools to maintain data integrity • Produce effective, clear charts that inform, rather than confuse, decision makers
Business Analyst Data Analyst Data Scientist Data Engineer Quantitative Analyst Project Manager
2
18
• Operate and manage clusters of networked computers • Maintain high availability of the cluster • Understand how cyber security issues can affect big data • Programming using enterprise languages, such as Java and Scala
Data Scientist Data Engineer Data Analyst Security Engineer Database Manager Data Architect
• Formalize the decision-making process • Frame decisions, think creatively, analyze, and implement informed and justifiable decisions • Understand uncertainty with data • Use multi-criteria alternatives • Leverage skills/tools like emotional intelligence, management techniques, decision trees, diagrams, and more
Relevant to anyone responsible for decision-making in an organization.
# COURSES THAT ADDRESS TOPIC AREA
# INSTRUCTORS QUALIFIED IN TOPIC AREA
3
31
1
8
COURSES & OFFERINGS LIST
BUNDLES ALIGNED
1264: Introduction to Data Science, Machine Learning & AI using Python 1272: Machine Learning with AWS Training
Intro to Data Science, Machine Learning & AI w/Python (1264+extras) Azure Data Engineer (8533+8534+extras) Specialist in Python Programming (1905+1906+extras) Azure Data Scientist (8566+8532+extras)
4509: Introduction to Python for Data Analytics 1362: Designing Data Models in Excel for Power BI Reports
Azure Data Engineer (8533+8534+extras)
1264: Introduction to Data Science, Machine Learning & AI using Python 8580: Microsoft Azure AI Fundamentals 8531: Designing and Implementing an Azure AI Solution
Azure Azure Azure Azure
1250: Introduction to Big Data 1694: Big Data on AWS 1262: Apache Spark with Scala Training for Big Data Solutions
Intro to Big Data (1250+extras) Azure Data Engineer (8533+8534+extras) Azure Solutions Artchitect (8521+8522) Azure Data Scientist (8566+8532+extras)
AI Engineer (8566+8531+extras) Data Engineer (8533+8534+extras) Solutions Artchitect (8521+8522) Data Scientist (8566+8532+extras)
DECISION ANALYSIS DATA VISUALIZATION involves representing information visually (e.g., charts, tables, diagrams, illustrations) in order to bring data to life in a way that's easy to understand to drive better business decisions.
ARTIFICIAL INTELLIGENCE (AI) has
been around since the 1950s, but today’s AI researchers use cutting-edge tech like deep learning (aka, neural networks), Natural Language Processing (NLP), and image processing (used in self-driving cars).
• Expertise modeling techniques/tools • Understanding the statistical basis of algorithms • Programming (Python or other ML language) • Work closely with data scientists to ensure machine learning technology delivers results for the organization
• Highly specialized by area of research and niche expertise • Programming and writing code for machines • Designing and developing machines and systems that can learn and apply knowledge without specific direction. • Research, analytical, organizational, and criticial thinking skills
Data Analyst Database Architect Data Visualization Engineer Data Visualization Scientist Data Engineer
Machine Learning Engineer Data Scientist Business Intelligence Developer Research Scientist Big Data Engineer/Architect Software Engineer
12
7
3
15
1271: Applied Data Visualization with R and ggplot2 1274: Data Visualization with Python 8574 8545 8546
1255: Introduction to Decision Analysis
8547 8548 8549 8550 8551 1256 1257
Specialist in Tableau (1256+1257+extras) Power Platform Skills (8574+8571+extras) Analyzing Data w/Power BI (many courses) Azure Data Engineer (8533+8534+extras) Azure Solutions Artchitect (8521+8522)
New Bundle: Decision Scientist (1255+1265+extras)