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.

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®

Business Intelligence

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