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The world of modern data and analytics continues to rapidly evolve and you need to stay on top of it – both for your personal career development and as an advisor within your organization. These one-on-one coaching sessions help to accelerate learning and define the skills and tools for working with today’s vast data environment.

We make it easy – our experts bring the tools and data to each session so you can focus on learning.

These bootcamps are designed for a higher level introduction to the topics. To dive deeper into Analytics, visit our Training page or reach out to training@newcomp.com to find out what training is right for your group.

Dip into a Data Lake 

Overview
Join Newcomp’s data engineering lab team in this half-day session where we discuss the methodology, technology and myths around deploying a data lake. We even walk you through some of the major platforms in a guided demonstration. This is the perfect way to get exposed to the skills, tools and processes involved in moving data in and out of modern data platforms so you can understand how big data really works.

Topics Covered:

· Fundamentals and methodology around data lakes
· Dispelling myths
· Technical landscape and vendors
· Deep dive into architecture and technical components
· Visual walk-through of leading platforms
Price: $495 per team (1-10 people)
Delivery style: Demonstration
Time commitment: 1/2 day
Audience: Data Architects, Analysts
Demonstrated Technology: Snowflake, Hortonworks Data Platform
Audience Tools Required: None

Try an API  

Overview

Data sources of the future involve so much more than structured relational databases. Public and web data, social media and third-party services are the new targets for analytics. Every modern data workers (like you) needs to understand how to connect, capture and manage these data sets through the evolving world of APIs. In this half-day session, our advanced data lab team introduces you to these APIs to gather data and explore the results.
Topics Covered:

· Defining APIs
· Overview of useful APIs
· Making simple API requests
Price: $295 per team (1-10 people)
Delivery style: Demonstration
Time commitment: 2 hrs
Audience: Analytics developers, technical analysts
Demonstrated technology: Alteryx, Python
Audience Tools Required: None

Data Science Not for Dummies  

Overview
It’s the catchiest new title on LinkedIn – everyone wants to be a data scientist! What does that actually mean? Explore a day in the life of a data science worker, from modern data sources to development notebooks and advanced scripting – all in the cloud.
Topics Covered:
· What is data science?
· Identifying data science problems
· Exploratory data analysis
· Introduction to modeling
· Exporting and sharing results
· Deploying models
Price: $495 per team (1-10 people)
Delivery style: Desktop based application and files
Time commitment: ½ day
Audience: Analytics Developers, statisticians, technical analysts
Demonstrated technology: Alteryx Designer
Audience Tools Required: Alteryx Designer Trial

Will It Blend? 

Overview
Extracting, blending, transforming and delivering data for reporting and analysis has historically been a painful process. You imagine big expensive tools, IT bottlenecks and data warehouses that are permanently under construction. Times have changed, and now citizen data analysts like you have tools to extract, blend, cleanse and deliver data in a quick visual way.
Topics Covered:

· Connecting to different data sources
· Common data cleaning steps
· Joining and unioning data
· Data transformations (crosstabs and transpositions)
· Exporting data

Price: $495 per team (1-10 people)
Delivery style: Desktop based application and files (depends on audience, may be demo only)
Time commitment: ½ day
Audience: Functional analyst
Demonstrated technology: Alteryx Designer
Audience Tools Required: Alteryx Designer Trial

Your First Crystal Ball 

Overview
Predictive analytics is a hot marketing topic, but how do you actually get started and apply it to real problems? Our data science lab team will show you how to take a data set and apply advanced statistical algorithms to predict and classify outcomes and outliers. No programming needed.
Topics Covered:
· Connecting to different data sources
· Common data cleaning steps
· Joining and unioning data
· Data transformations (crosstabs and transpositions)
· Exporting data
Price: $495 per team (1-10 people)
Delivery style: Desktop-based application and files
Time commitment: ½ day
Audience: Technical Analyst
Demonstrated technology: Alteryx
Audience Tools Required: Alteryx Designer Trial

The Machines are Learning 

Overview

Google Photos detecting your dog, your new car automatically braking for a pedestrian, and Gmail’s amazing spam filter. These are all powered by machine learning, and as an analyst you can lead your organization into the future of analytics by helping the machines find the insights.
Topics Covered:
· The history and landscape of machine learning (ML)
· Essential ML algorithms
· Introduction to Jupyter notebooks
· Cloud environments and APIs overview
· Interesting research and development
Price: $495 per team (1-10 people)
Delivery style: Web-based demonstration
Time commitment: 1/2 day
Audience: Advanced analytics analyst, statisticians
Demonstrated technology: Alteryx Designer, Watson Studio, Python
Audience Tools Required: None

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