Data Analytics, Big Data & Data Science: Increasing Confidence in Business Decisions In an Uncertain Digital Economy
A Holistic Approach to Optimize Your Workforce Learn More
Comprehensive Data Science Learning Paths Learn More
Featured Webinar: Data Science Demystified Learn More
Top 3 Data Science Pain Points What can you do to transform data frustrations into clarity and peace of mind?
Hiring Identifying the right job roles and hiring the right team is essential to the success of your data science team.
Stakeholder Collaboration Data science success requires a culture shift — not just a technology shift. Stakeholder buy-in, as well as understanding of their needs, is critical.
Domain Knowledge Understanding your organization's data environment better informs limitations and improves predictive accuracy.
Learning Tree's Data Science Training The Tools & Techniques to Make Better Business Decisions Our data science training curriculum will teach your team how to create data-driven business strategies, and store, manage, process, and analyze large data sets. Gain data science skills in:
»
Artificial Intelligence
» Statistics
» Deep Learning
» IoT
» Machine Learning
» Python
» Kafka
» Tableau
» Azure
» Data Wrangling
» Big Data
» ... and more!
Blended & On-Demand Data Science Training Learning Tree offers flexible training delivery options that feature anywhere, any way access to self-tailoring learning experiences. Introduction to Big Data • Course 1250 This suite of big data training options provides a unique approach to help you extract meaningful insights from data, leading to better decision-making capacity that supports real business gains.
Introduction to Data Science, Machine Learning & AI using Python • Course 1264 Want to be a Data Scientist? This is the place to begin! This suite of data science training options covers the data science lifecycle, from working with raw datasets to machine learning and AI models that create efficiencies and lead to meaningful insights.
Choose from the following delivery options:
Defining the Pieces of the Data Puzzle DATA SCIENCE
•
Extract and manipulate data from diverse data sources
•
Use machine learning methods, such as clustering and random forests
TA DA
IE SC
E NC
NA
LY T
Skills Required
Programming in popular machines learning languages, such as Python
•
Work closely with data scientists to ensure machine learning technology delivers results for the organization
Manipulate databases using SQL
•
Utilize statistical tools to maintain data integrity
•
Produce effective, clear charts that inform, rather than confuse, decisionmakers
Use dashboard tools and design effective dashboards.
IFIC ART
•
G
Understand the statistical basis of algorithms
RNIN
•
LEA
Expertise in one or more modeling techniques/tools
HINE
•
• •
IAL
MAC
MACHINE LEARNING
ICS E
Programming in at least one data science language (e.g. Python, R)
DA TA A
ENC
•
DATA ANALYTICS
LLIG
Advanced usage of statistical tools and methods
INTE
•
BIG DATA
ARTIFICIAL INTELLIGENCE (AI)
•
Highly specialized; Skill requirements determined by area of research and niche expertise
BIG DATA
• • • •
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
A Holistic Approach To Optimize Your Workforce
DEFINE
Organizational Structure, Processes & Job Roles
ENHANCE
Knowledge, Skills & Abilities (KSAs)
ASSESS/MAP Knowledge, Skills & Abilities (KSAs)
› Driven by your ultimate data goals, determine your current data ecosystem, obstacles, and needs
› Take a needs-based
approach to analyzing, defining, and adjusting roles and responsibilities to align with your overall data strategy
› Create a clear business
BIG DATA ACCELERATION WORKSHOPS
plan that establishes the goals and vision of your data science implementation
IMPLEMENT
Process & Organizational Improvements
› Develop a customized
data science curriculum with individual learning plans to meet the needs of your staff and organization’s overall data science strategy
› D etermine the
Knowledge, Skills, and Abilities (KSAs) of your existing staff, and identify skill gaps using automated skills assessments
› Direct the training,
› S et the stage to align
the KSAs of your workforce to your immediate, short-term, and long-term strategic data science goals
coaching, and mentoring of your staff to support your data science goals from the top down
•E valuate and select appropriate big data tools and frameworks that reflect the needs of your organization •M anage the resources of your big data platform to match the needs and priorities of your organization •C reate data pipelines to load, clean, filter, and analyze both structured and unstructured data
› Enhance, tweak, and
coach with embedded expert instructors to help apply new skills
› Rapidly increase
the process maturity of your big data staff with customized Accelerations Workshops
Learning Tree’s Comprehensive Data Science Learning Paths Course # 3656
Course #
HR Administrator/L&D Specialist Preparing for a Digital Transformation Initiative
Business Analyst/Business Architect
Level Foundation
Level
1255
Introduction to Decision Analysis
Foundation
1256
Tableau Visual Analytics Training
Foundation
1264
Introduction to Data Science, Machine Learning & AI using Python Training
Foundation
1271
Applied Data Visualization with R and ggplot2 Training
Intermediate
1274
Data Visualization with Python Training
Intermediate
1257
Advanced Tableau Training
Advanced
Course #
Machine Learning Engineer/Enterprise Architect/Machine Learning Researcher
Level
1263
Applied Data Science with Python and Jupyter
Foundation
1270
Introduction to Application Development with TensorFlow and Keras Training
Foundation
1255
Introduction to Decision Analysis
Foundation
1264
Introduction to Data Science, Machine Learning & AI using Python Training
Foundation
1278
Deep Learning for Natural Language Processing
Intermediate
1277
Applied Deep Learning with PyTorch
Intermediate
1272
Machine Learning with AWS Training
Intermediate
Course #
Data Wrangler/Data Science Programmer
Level
1905
Introduction to Python Training
Foundation
1273
Data Wrangling with Python Training
Foundation
925
Introduction to SQL Programming Training
Foundation
1264
Introduction to Data Science, Machine Learning & AI using Python Training
Foundation
1263
Applied Data Science with Python and Jupyter
Foundation
1270
Introduction to Application Development with TensorFlow and Keras Training
Foundation
1277
Applied Deep Learning with PyTorch
Intermediate
1906
Advanced Python: Best Practices and Design Patterns
Advanced
TO LEARN MORE, VISIT LEARNINGTREE.COM/DATASCIENCE OR CALL 1-800-843-8733
Learning Tree’s Comprehensive Data Science Learning Paths
Course #
Data Engineer/Data Architect/Data Designer/Big Data Developer/IoT Engineer Developer
Level
1273
Data Wrangling with Python Training
Foundation
1263
Applied Data Science with Python and Jupyter
Foundation
1250
Introduction to Big Data Training
Foundation
8422
Administering a SQL Database Infrastructure Training (20764)
Intermediate
1279
Azure Synapse Analytics
Intermediate
1261
Building Enterprise Solutions with MongoDB Training
Intermediate
1260
Building Apache Cassandra Databases Training
Intermediate
1262
Apache Spark with Scala Training for Big Data Solutions
Intermediate
8426
Introduction to SQL Databases Training (10985)
Intermediate
Course #
Framework/Database Administrator
Level
1250
Introduction to Big Data Training
Foundation
8422
Administering a SQL Database Infrastructure Training (20764)
Intermediate
1261
Building Enterprise Solutions with MongoDB Training
Intermediate
1279
Azure Synapse Analytics
Intermediate
Course #
Quantitative Researcher/Data Visualization Designer
Level
1255
Introduction to Decision Analysis
Foundation
1256
Tableau Visual Analytics Training
Foundation
1265
Introduction to Statistics
Foundation
1264
Introduction to Data Science, Machine Learning & AI using Python Training
Foundation
1263
Applied Data Science with Python and Jupyter
Foundation
1270
Introduction to Application Development with TensorFlow and Keras Training
Foundation
1278
Deep Learning for Natural Language Processing
Intermediate
1277
Applied Deep Learning with PyTorch
Intermediate
1271
Applied Data Visualization with R and ggplot2 Training
Intermediate
1257
Advanced Tableau Training
Advanced
TO LEARN MORE, VISIT LEARNINGTREE.COM/DATASCIENCE OR CALL 1-800-843-8733
Learning Tree’s Data Science & Analytics experts have designed role-specific learning paths that provide you with the knowledge and skills to implement, manage, and enhance your organization’s big data strategy. Click to view as Interactive Learning Paths ›
Course #
Data Scientist
Level
1264
Introduction to Data Science, Machine Learning & AI using Python Training
Foundation
1905
Introduction to Python Training
Foundation
1265
Introduction to Statistics
Foundation
1277
Applied Deep Learning with PyTorch
Intermediate
1278
Deep Learning for Natural Language Processing
Intermediate
1271
Applied Data Visualization with R and ggplot2 Training
Intermediate
Course #
Data Analyst
Level
1264
Introduction to Data Science, Machine Learning & AI using Python Training
Foundation
1273
Data Wrangling with Python Training
Foundation
1263
Applied Data Science with Python and Jupyter
Foundation
4509
Introduction to Python for Data Analytics
Foundation
1271
Applied Data Visualization with R and ggplot2 Training
Intermediate
1274
Data Visualization with Python Training
Intermediate
195
Excel Data Analysis Training
Intermediate
Course #
Cloud Specialist
Level
1272
Machine Learning with AWS Training
Intermediate
1694
Big Data on AWS Training
Intermediate
1695
Data Warehousing on AWS Training
Intermediate
8531
Designing and Implementing an Azure AI Solution (AI-100)
Intermediate
8533
Implementing an Azure Data Solution Training (DP-200)
Intermediate
1274
Data Visualization with Python Training
Intermediate
195
Excel Data Analysis Training
Intermediate
Course #
Management Team
Level
1255
Introduction to Decision Analysis
Foundation
3656
Preparing for a Digital Transformation Initiative
Foundation
On-Demand Webinars
Data Wrangling with Python In this on-demand webinar, Learning Tree Data Science Curriculum Dean Chris Mawata explores why Python is the most popular language for revolutionizing data operations with high-level programming, data visualization, machine learning algorithms, and more. Watch Now
Data Science Demystified: Informed Organizational Decision-Making In this on-demand webinar, Data Science Expert Andrew Tait discusses the role data science plays in informing organizational decision-making. You'll learn to explore your organization's data-driven decision-making capacity via culture, data, methods , and platforms. Watch Now
Chris Mawata, Ph.D.,
Andrew Tait
Learning Tree Data Science Curriculum Dean
Featured Learning Tree Data Science Instructor
Chris has over 35 years of IT experience including 17 years of teaching at the university level and 20 years of training Java, Big Data, and AI. As a Learning Tree instructor, Chris has authored six courses. As a consultant he runs a 20node cluster on which he has several Big Data frameworks installed. He has published peer-reviewed papers in image processing, artificial intelligence, and pure mathematics.
Andrew Tait is Chief Technology Officer of Decision Mechanics. Decision Mechanics specializes in decision science and the design/development of related technology. With a background in Artificial Intelligence and Operations Research he is currently involved in helping organizations make use of machine learning to tease insights from their data lakes. Prior to founding Decision Mechanics, Andrew held a range of posts in business, government and academia.
High-Performance Training & Implementation Solutions From Learning Tree Technology Brands Adobe
IBM
Oracle
SAP
AWS
Lean Six Sigma
Red Hat
VMware
Cisco
Microsoft
Salesforce
IT & Management Training Topics Agile & Scrum
Data Science & Big Data
Linux & UNIX
Networking
Apple Programming
DevOps
Power BI
Azure
FAC-P/PM
Microsoft Cloud Workshops
Business Analysis
ITIL
Microsoft Dynamics 365
Python
ITSM
Microsoft Office
SharePoint
Cloud Computing
Java
Software Development
Communication Skills
Leadership & Professional Development
Microsoft Windows Server and Windows 10
®
Business Intelligence
US2012DS
Cyber Security
Project Management
Mobile App Development .NET / Visual Studio
SQL Server Web Development & Design
Honored In Serving 60,000+ Organizations
500+ Expert Instructors – Real-World Practitioners
Demonstrated Past Performance
For 45 years, Learning Tree has been a trusted partner for the world’s largest corporations in Financial Services, Healthcare, all levels of Government, Professional Services, Manufacturing, Education and Non-Profits.
Serving our global footprint and averaging 15+ years of real-world consulting experience to deliver real-world results
Offering end-to-end capabilities resulting in improved organizational performance – Workforce Development
LearningTree.com 1-800-THE-TREE (843-8733)
ITIL® is a registered trade mark of AXELOS Limited. COBIT® is a registered trademark of Information Systems Audit and Control Association® (ISACA®).
Data means insight, and insight means advantage. Get a leg up on the competition with big data.
Published on Nov 3, 2016
Data means insight, and insight means advantage. Get a leg up on the competition with big data.