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Data Science

Data science is a broad field that harnesses many disciplines to derive insights and create value from data. The multi-disciplinary field involves mathematics, statistics, advanced algorithmic computing, data mining, artificial intelligence, machine learning, data engineering, data preparation, data visualization, and application of scientific method—all within the context of business domains to which it is applied. Through applied data science, organizations are able to predict and forecast, detect patterns and anomalies, make recommendations, optimize and automate processes, and much more. Data science allows analysts, decision makers and other business professionals to challenge assumptions, ask challenging questions, frame analytical opportunities, test hypothesis and deepen their understanding of how their customers, markets, assets and competitors behave.

The frequently used and often misunderstood term data scientist is not a one-size-fits-all role. Data science involves many personas including leaders and strategists, analytic modelers, statisticians, data analysts, and data engineers. The eLearningCurve curriculum for data science is designed to provide a foundation of fundamental concepts, cover the diverse needs of many data science personas, and continuously evolve with changes in this rapidly evolving field.



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Online CIMP Data Science Certification Package CIMP Data Science Package

CIMP Data Science includes courses and exams necessary to earn Certified Information Management Professional (CIMP) designation in Data Science track at a great discount.

Our Price: $1,795.00
Online CIMP Ex Data Science Certification Package CIMP Ex Data Science Package

CIMP Ex Data Science Package offers comprehensive education in data governance capped with the highest level of Certified Information Management Professional designation (CIMP Ex) in Data Science track at a great discount.

Our Price: $2,695.00
Data Science Fundamentals - online training course Data Science Fundamentals

This online course will cover the key concepts and practices needed for a successful data science program.

Instructors: Mark Peco and Natasha Balac

Our Price: $480.00
Introduction to NOSQL - online training course Introduction to NOSQL

This 3.5-hour online course addresses the emerging class of NoSQL technologies for managing operational big data. This includes key-value, column stores, document stores and graph databases. Learn about the ideal workloads for NoSQL in enterprises and where NoSQL adds value to an enterprise information strategy. Learn how to get the projects started or dropping the “not in production” label.

Instructors: William McKnight

Our Price: $360.00
Framing and Planning Data Science Projects - online training course Framing & Planning Data Science Projects that Drive Business Impact

This 3-hour online course addresses how to scope, plan, and choose a project approach for analytics project success and clearly identify the problem and opportunities to be analyzed.

Instructor: Deanne Larson

Our Price: $305.00
Hadoop Fundamentals - online training course Hadoop Fundamentals

This 5-hour online course provides an introduction to Hadoop and its inner workings and how the ecosystem was created to answer several questions for a world driven by data and e-commerce.

Instructor: Krish Krishnan

Our Price: $515.00
Putting the Science in Data Science - online training course Putting the Science in Data Science: Fundamentals of Research Methods

This 3-hour online course provides an overview of the scientific method within the context of solving business problems with the goal of introducing the key concepts, tools, and skills for practice.

Instructor: Jennifer Leo

Our Price: $305.00
Data Understanding and Preparation for Data Science - online training course Data Understanding and Preparation for Data Science

This 3-hour online course addresses how to translate the problem statement into data sources, explore the data for relationships and recognize patterns, identify the starting inputs for the model, preparing data, and validating it for the model fitting process.

Instructor: Deanne Larson

Our Price: $320.00
Artificial Intelligence Fundamentals - online training course AI Fundamentals: An Introduction to Artificial Intelligence

This course presents the basics of AI from history to modern AI with the illustrative applications of endless possibilities.

Instructor: Natasha Balac

Our Price: $485.00
Streaming Data: Concepts, Applications, and Technologies - online training course Streaming Data: Concepts, Applications, and Technologies

This 3-hour course covers the concepts, applications, and business and technical drivers for streaming data adoption, including an in-depth discussion of Apache Kafka.

Instructor: Dave Wells and Kevin Petrie

Our Price: $305.00
Analytical Modeling, Evaluation, and Deployment Best Practices  - online training course Analytical Modeling, Evaluation, and Deployment Best Practices

This 3-hour course focuses on how to match the business problem to candidate algorithms, produce comparable models, choose the best performing model, and once in production, what to do to address ongoing value.

Instructor: Deanne Larson

Our Price: $305.00
Diagnostic Analytics Using Statistical Process Control - on-line training class Diagnostic Analytics Using Statistical Process Control

This 4-hour course provides an introduction to the concepts, techniques and applications of SPC within the context of information management. The theory of SPC is introduced and the design of control charts is discussed as a basis for describing how a diverse range of data and process quality management challenges can be addressed.

Instructor: Mark Peco

Our Price: $385.00

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Prescriptive Analytics - online training course Prescriptive Analytics Using Simulation Models

This 4-hour online training course provides an introduction to prescriptive analytics using simulation models applied to areas that are relevant to business analysts, operations planners, decision makers, functional managers and BI team members.

Instructor: Mark Peco

Our Price: $415.00

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Data Mining in R - online training course Data Mining in R

This 3.5-hour course provides an introduction to R basics, working with data frames, data reshaping, basic statistics, graphing, linear models, non-linear models, clustering, and model diagnostics

Instructor: Deanne Larson

Our Price: $345.00
Data Mining Concepts and Techniques - online training course Data Mining Concepts and Techniques

This 3-hour online course will give you insight into the data mining process, explain models and algorithms, and give an understanding of how to match the right data mining models to the right problems.

Instructor: Deanne Larson

Our Price: $295.00

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