Data Science & Big Data Overview: Tools, Tech & Modern Roles in the Data-Driven Enterprise (TTDS6000)

Data Science & Big Data Overview: Tools, Tech & Modern Roles in the Data-Driven Enterprise (TTDS6000) is a 1-day, instructor-led training course from IT Dojo covering Data Science & Big Data Overview: Tools, Tech & Modern Roles in the Data-Driven Enterprise (TTDS6000) training and best practices. It is delivered live online or on-site for U.S. federal government, DoD, and corporate teams, employer sponsored.

Course Duration

1 Day

Audience

Employees of federal, state and local governments; and businesses working with the government.

Prerequisites

A basic understanding of data and its importance in business, fundamental analytical and problem-solving skills, and familiarity with general business operations and processes.

Course Description

Delve into the world of data science and big data with this engaging one-day course. Guided by an expert instructor, you will explore how data science is revolutionizing business by connecting the dots between data and strategic decision-making. You will gain key insights into transforming raw data into meaningful insights through data collection, preparation, and visualization techniques, and learn about the essential elements of data science, the dynamics of big data technologies, and the evolving roles shaping data-driven organizations today. You will also review the foundations of machine learning, big data technologies, and the practical application of data science tools, preparing you to tackle real-world business challenges while exploring the latest trends in AI and its application in data science. A highlight of the course is a demo of a custom Retrieval Augmented Generation (RAG) based GPT solution, demonstrating how advanced AI techniques align with data-oriented business roles and processes. You will exit the class with a solid, conversant-level understanding of these technologies, able to communicate data-driven insights and participate in strategic decisions surrounding data science.

Learning Objectives

• Understand the essentials of data collection, preparation, and visualization.
• Explore the fundamentals of machine learning and AI applications.
• Identify the dynamics and technologies behind big data.
• Develop skills to communicate data-driven insights effectively.
• Recognize the modern roles that shape data-driven organizations.

Course Outline

Understanding Data Science in Business

• Overview of data science and its evolution.
• Importance of data science in business and key terminologies.
• Data science vs. traditional business intelligence.

Data Collection, Preparation, and Analytics

• Sources of data and methods to collect and prepare data for analysis.
• Data cleaning and pre-processing.
• Descriptive vs. inferential statistics and common statistical methods.

Machine Learning and Data Visualization

• Fundamentals of machine learning and its application in business decisions.
• Supervised vs. unsupervised learning and common business algorithms.
• Importance of data visualization and common tools (Tableau, Power BI, Qlik, Looker).

Big Data, Hadoop, and Business Decisions

• Introduction to big data and the Hadoop ecosystem.
• Big data technologies and tools (Hadoop, Spark, Hive, Cassandra).
• Integrating big data into business strategy and predictive analysis.
• Challenges and ethical considerations in big data.

Tools, Languages, AI, and Modern Roles

• Common data science tools and languages (Python, R, SQL, Java).
• Introduction to AI in data science and new AI tools.
• Modern roles: data analyst, data engineer, data scientist.

Implementing Data Science in Business

• Building a data-driven culture and structuring a data science team.
• Project management for data science.
• Group discussion and additional resources for self-paced learning.

Frequently Asked Questions

Official Certification & Standards Resources

Authoritative references for Data Science & Big Data Overview: Tools, Tech & Modern Roles in the Data-Driven Enterprise (TTDS6000) from the certifying bodies and federal standards that govern this training:

• NICCS Training Catalog (CISA)
• NICE Cybersecurity Workforce Framework (NIST)