| DevelopIntelligence

Instructor-led Data Scientist Courses

Customized, role-based, expert-led Data Scientist Training

DevelopIntelligence specializes in delivering highly-customized, dedicated, role-based Data Scientist Training courses to technical teams and organizations.

Of course, if you can't find the Data Scientist training course you're looking for, give us a call or contact us and we'll design one just for you and your team.

Data Scientist, you are a statistician or data analyst who lives in San Francisco 😜. In all seriousness, you live for the thrill of extracting insights and a story out of raw data. You love to cut your teeth on the newest libraries, constantly stay up to data by reading white papers, and keep your tools sharp. You blend math, stats, algorithms, scraping, analysis, and visualization tools to help companies understand their businesses (and the world) better.

Developer Academy™

For Organizations

Executing a digital transformation or having trouble filling your tech talent pipeline?

Upskilling & Reskilling

For Tech Teams

Need to stay ahead of technology shifts and upskill your current workforce on the latest technologies?

New Hire Development

for Talent Acquisition

Is your engineering new hire experience encouraging retention or attrition?

Learning Strategy

For Tech Learning

Looking for in-the-trenches experiences to level-up your internal learning and development offerings?

Agile Courses

JIRA Learning Spike -

Teach the essentials of Atlassian JIRA

AI Courses

Introduction to AI and Machine Learning in Azure -

Learn to implement AI and ML techniques on Azure.

Introduction to Artificial Intelligence -

This course is designed to provide students with foundational and practical knowledge of artificial intelligence.

Apache Spark Courses

Advanced Spark -

Learn how to use Spark internals for working with NoSQL databases as well debugging and troubleshooting.

Scalable Machine Learning -

Understand and build end-to-end Scalable Machine Learning Pipelines for gaining actionable insights.

Azure Courses

Azure in a Day -

Learn how to build, deploy, and maintain applications in Azure Cloud.

Introduction to AI and Machine Learning in Azure -

Learn to implement AI and ML techniques on Azure.

Back-End Development Courses

Advanced SQL -

Learn a deep understanding of the logical query processing aspects of both traditional and the most advanced, modern constructs of the SQL language.

Introduction to SQL -

Learn the core concepts of SQL.

Big Data Courses

Advanced Tableau -

Improve analytical ability and the ability to provide data insights.

Data Storytelling -

Identify the right context for analysis, perform the analysis and tell a story to drive action.

Intermediate Tableau -

Provide students with advanced Tableau knowledge and skills.

Introduction to R & Python -

Introduce developers to both programming languages providing comparisons and recommendations between the two languages.

Introduction to Tableau -

Promote familiarity with Tableau

Bitbucket Courses

Understanding Git and Github/Gitlab/Bitbucket -

To teach students the details and advanced usage of git and review the cloud-based tools and repositories.

Cloud Computing Courses

Google Cloud for Data Analysts -

Learn how to perform insightful and responsive data analysis at scale and delight the consumers of the analysis with effective data visualizations.

Google Cloud for Data Scientists -

Create and deploy high-performance data science and machine learning systems on Google Cloud for regression and classification use cases leveraging both structured and unstructured datasets.

Intermediate Google Cloud For Data Analysts -

Learn how to analyze large scale, distributed, and real-time datasets with MapReduce and Apache Beam based capabilities of Google Cloud.

Intermediate Google Cloud For Data Scientists -

Implement statistical and machine learning models using TensorFlow, for example for recommendation engines, and how to improve their performance based on the students’ understanding of underlying mathematical principles.

Introduction to AI and Machine Learning in Azure -

Learn to implement AI and ML techniques on Azure.

Introduction to SageMaker for Data Analysts -

Teach developers how to choose the right questions to ask and how to answer them with Machine Learning.

Deep Learning Courses

Applied Computer Vision -

Study and implement deep learning models and learning algorithms for visual recognition.

Deep Learning with TensorFlow and Keras -

Examine Deep Learning concepts and popular tools.

Working with Deep Reinforcement Learning -

This course will provide an introduction to deep reinforcement learning, what it is, how it works and how you can apply it to real-world problems.

Git Courses

Understanding Git and Github/Gitlab/Bitbucket -

To teach students the details and advanced usage of git and review the cloud-based tools and repositories.

Google Cloud Courses

Google Cloud for Data Analysts -

Learn how to perform insightful and responsive data analysis at scale and delight the consumers of the analysis with effective data visualizations.

Google Cloud for Data Scientists -

Create and deploy high-performance data science and machine learning systems on Google Cloud for regression and classification use cases leveraging both structured and unstructured datasets.

Intermediate Google Cloud For Data Analysts -

Learn how to analyze large scale, distributed, and real-time datasets with MapReduce and Apache Beam based capabilities of Google Cloud.

Intermediate Google Cloud For Data Scientists -

Hadoop Courses

Scalable Machine Learning -

Understand and build end-to-end Scalable Machine Learning Pipelines for gaining actionable insights.

Java Courses

Functional Programming for Java Developers -

The goal of this course is to prepare Java developers to utilize functional programming when creating code.

Jenkins Courses

Advanced Jenkins -

Learn how to enable continuous integration in a distributed environment with Jenkins.

Jira Courses

JIRA Learning Spike -

Teach the essentials of Atlassian JIRA

Working with JIRA -

Teach the essentials of JIRA

Machine Learning Courses

Advanced Machine Learning -

Learn advanced techniques for managing data and tuning models.

Advanced Tableau -

Improve analytical ability and the ability to provide data insights.

Applied Data Science & Machine Learning -

Explore intermediate data analysis techniques and how programming languages can be used to further analyze data.

Data Storytelling -

Identify the right context for analysis, perform the analysis and tell a story to drive action.

Google Cloud for Data Scientists -

Create and deploy high-performance data science and machine learning systems on Google Cloud for regression and classification use cases leveraging both structured and unstructured datasets.

Intermediate Google Cloud For Data Analysts -

Learn how to analyze large scale, distributed, and real-time datasets with MapReduce and Apache Beam based capabilities of Google Cloud.

Intermediate Google Cloud For Data Scientists -

Intermediate Tableau -

Provide students with advanced Tableau knowledge and skills.

Introduction to AI and Machine Learning in Azure -

Learn to implement AI and ML techniques on Azure.

Introduction to Data Science & Machine Learning -

Examine how data can be gathered to improve the overall needs of the business.

Introduction to Machine Learning -

Learn various Machine Learning algorithms to evaluate and productize models.

Introduction to R & Python -

Introduce developers to both programming languages providing comparisons and recommendations between the two languages.

Introduction to SageMaker for Data Analysts -

Teach developers how to choose the right questions to ask and how to answer them with Machine Learning.

Introduction to Tableau -

Promote familiarity with Tableau

Machine Learning and Natural Language -

Learn to implement ML techniques for natural language comprehension, sentiment analysis, topic discovery, etc.

Machine Learning for Search -

Learn the knowledge and use cases for software engineers to transition to Machine Learning for Search.

Scalable Machine Learning -

Understand and build end-to-end Scalable Machine Learning Pipelines for gaining actionable insights.

NLP Courses

Machine Learning and Natural Language -

Learn to implement ML techniques for natural language comprehension, sentiment analysis, topic discovery, etc.

NoSQL Courses

Advanced Spark -

Learn how to use Spark internals for working with NoSQL databases as well debugging and troubleshooting.

Professional Development Courses

Writing Technical White Papers -

To promote an understanding of how to write persuasive white papers that obtain results.

Python Courses

Advanced Machine Learning -

Learn advanced techniques for managing data and tuning models.

Building a Recommendation Engine Using Python -

The purpose is to understand, design, implement and evaluate various recommendation engines.

Introduction to R & Python -

Introduce developers to both programming languages providing comparisons and recommendations between the two languages.

Machine Learning for Search -

Learn the knowledge and use cases for software engineers to transition to Machine Learning for Search.

Python for Data Scientists -

Obtain a working knowledge of how to use Python to explore and analyze data, run basic regression models, visualize data, and apply some basic machine learning models to data.