Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise

Discover how data science and big data revolutionize strategic decision-making for tech professionals with our comprehensive course, enhancing your skills in data collection, machine learning, and AI-driven insights.

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Essential Skills Gained

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Understand the essentials of data collection, preparation, and visualization.

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Explore the fundamentals of machine learning and AI applications.

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Identify the dynamics and technologies behind big data.

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Develop skills to communicate data-driven insights effectively.

Format

  • Instructor-led
  • 1 days with lectures and hands-on labs.

Audience

  • Business Analysts
  • Project Managers
  • Department Heads
  • IT Professionals

Description

Delve into the world of data science and big data with our engaging one-day course, "Data Science & Big Data Overview | Tools, Tech & Modern Roles in the Data-Driven Enterprise." Guided by our expert instructor, you'll explore how data science is revolutionizing business, connecting the dots between data and strategic decision-making. Gain key insights into transforming raw data into meaningful insights through data collection, preparation, and visualization techniques. Learn about the essential elements of data science, the dynamics of big data technologies, and the evolving roles that are shaping data-driven organizations today. You'll 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 effectively, while exploring the latest trends in AI and its application in data science for maximum productivity. This course serves as an ideal primer, offering a valuable kickstart for individuals new to data science, whether they aim to apply foundational concepts in their current role, engage in informed discussions, or pursue advanced training to launch their data science career. You'll exit the class with a solid understanding of these technologies to a conversant level, able to participate in strategic decisions surrounding data science skills. A highlight of the course will be our demo of a custom Retrieval Augmented Generation (RAG) based GPT solution, demonstrating how advanced AI techniques align with various data-oriented business roles and processes, providing insights into the latest technologies driving modern data strategies. You'll exit this course with the skills required to effectively communicate data-driven insights, contribute to strategic business decisions, and stay ahead in the evolving landscape of data science and big data technologies.

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Upcoming Course Dates

August 1-1, 2025

10:00 AM - 6:00 PM

Virtual: Online - US/Eastern

Enroll

$995

August 1-1, 2025

10:00 AM - 6:00 PM

Virtual: Online - US/Eastern

Enroll

$995

September 12-12, 2025

10:00 AM - 6:00 PM

Virtual: Online - US/Eastern

Enroll

$995

Course Outline

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Understanding Data Science in Business

  1. Overview of Data Science and its Evolution

  2. Importance of Data Science in Business

  3. Key Terminologies in Data Science

  4. Data Science vs. Traditional Business Intelligence

  5. Demo

Data Collection and Preparation

  1. Learn about the sources of data and methods to collect and prepare data for analysis.

  2. Sources of Data in Business

  3. Data Collection Techniques

  4. Data Cleaning and Pre-processing

  5. Demo

Introduction to Analytics and Statistical Methods

  1. Explore basics of analytics and statistical methods used in data science.

  2. Descriptive vs. Inferential Statistics

  3. Common Statistical Methods and Their Business Applications

  4. Basics of Data Visualization

  5. Demo

Introduction to Machine Learning for Business

  1. Understand the fundamentals of machine learning and its application in business decisions.

  2. Overview of Machine Learning

  3. Supervised vs. Unsupervised Learning

  4. Common Machine Learning Algorithms in Business

  5. Demo

Data Visualization and Interpretation

  1. Learn how to visualize and interpret data to derive actionable business insights.

  2. Importance of Data Visualization

  3. Common Data Visualization Tools (Tableau, PowerBI, Qlik, Looker etc.)

  4. Demo

Big Data, Hadoop, and Business Decisions

  1. Understand the concept of big data, the Hadoop ecosystem, and how it can be leveraged for strategic business decisions.

  2. Introduction to Big Data

  3. Overview of the Hadoop Ecosystem and its Components

  4. Big Data Technologies and Tools (Hadoop, Spark, Hive, Cassandra, etc.)

  5. Integrating Big Data into Business Strategy

  6. Big Data for Predictive Analysis

  7. Challenges and Ethical Considerations in Big Data

  8. Demo

Common Tools, Languages & AI in Data Science

  1. Gain insights into the common tools and languages used in data science, the role of AI, and modern data science roles.

  2. Common Data Science Tools and Languages (Python, R, SQL, and Java)

  3. Introduction to AI in Data Science

  4. New AI Tools in Data Science

  5. Modern Roles in Data Science (Data Analyst, Data Engineer, Data Scientist)

  6. Demo

Implementing Data Science in Business

  1. Gain insights on how to successfully implement data science projects in a business environment.

  2. Building a Data-Driven Culture

  3. Roles and Responsibilities in a Data Science Team

  4. Project Management for Data Science

Data Science in Action

  1. Q&A session & Recap

  2. Group discussion on the application of data science in participants' respective businesses

  3. Additional resources and guides for further self-paced learning

Your Team has Unique Training Needs.

Your team deserves training as unique as they are.

Let us tailor the course to your needs at no extra cost.