Skip to content
AI and Data Science for Business Professionals
The AI and Data Science in Business Intermediate Level Certification equips professionals with the skills to integrate data science into ...
Show more
Instructor
Jason James
- Description
- Curriculum
- FAQ
- Grade
AI and Data Science in Business Intermediate Level Certification
This 4-week, self-paced, certification is designed for professionals seeking to bridge the gap between data science and business strategy. The course blends foundational technical skills with hands-on business applications, empowering you to leverage AI and data science to solve real-world business challenges.
Throughout the program, you will gain experience with the end-to-end data science workflow, including data acquisition, cleaning, visualization, and the development and interpretation of predictive models. You will explore how AI and machine learning can optimize business operations, enhance customer experiences, and unlock new revenue streams. The curriculum emphasizes practical, ethical, and strategic considerations, ensuring you can confidently lead data-driven initiatives within your organization.
Interactive labs using the Open WebUI platform, real-world case studies, and a capstone project will equip you with the tools needed to translate data insights into business value. By the end of this course, you will be able to collaborate effectively with technical teams, champion a data-driven culture, and make strategic decisions powered by AI.
Course Outline
Duration: 4 Weeks
Level: Intermediate
Format: Online, self-paced with weekly modules
Assessment: Weekly quizzes, final exam, and a capstone project
Tools: Open WebUI platform for interactive labs
Week 1: Foundations of AI and Data Science in Business
- Lecture: Introduction to AI, data science, and their business relevance
- Lab: Exploring business datasets using Open WebUI; basic data cleaning
- Audio: The business case for AI and data science
- Quiz: Matching key terms and concepts
- MCQ Quiz: 40 questions on foundational concepts
Week 2: Data Acquisition, Cleaning, and Visualization
- Lecture: Data sources, data quality, and visualization best practices
- Lab: Importing, cleaning, and visualizing business data in Open WebUI
- Audio: How data quality impacts business outcomes
- Quiz: Matching data types to business scenarios
- MCQ Quiz: 40 questions on data handling and visualization
Week 3: Descriptive and Diagnostic Analytics
- Lecture: Descriptive statistics, business dashboards, and diagnostic analytics
- Lab: Creating dashboards and generating insights from business data
- Audio: Turning data into actionable business insights
- Quiz: Match analytics types to business questions
- MCQ Quiz: 40 questions on descriptive/diagnostic analytics
Week 4: Predictive Analytics and Machine Learning for Business
- Lecture: Introduction to predictive analytics and machine learning concepts
- Lab: Building and interpreting predictive models using Open WebUI
- Audio: Real-world applications of predictive analytics in business
- Quiz: Identifying predictive vs. descriptive analytics
- MCQ Quiz: 40 questions on predictive analytics and machine learning
Foundations of AI and Data Science in Business
-
1
Introduction to AI, data science, and their business relevanceIn this engaging lesson, "Unlocking Business Potential: An Introduction to AI and Data Science," students will explore the fundamental concepts of artificial intelligence and data science, understanding their transformative impact on modern business practices. By the end of the session, learners will be equipped with the knowledge to identify opportunities for leveraging AI and data analytics to drive innovation and enhance decision-making within their organizations. Join us to discover how these powerful tools can unlock new avenues for growth and success! -
2
Exploring business datasets using Open WebUI; basic data cleaningIn this engaging lesson titled "Unlocking Insights: Exploring and Cleaning Business Datasets with Open WebUI," students will dive into the world of data analysis by learning how to effectively explore business datasets using the Open WebUI platform. They will gain hands-on experience in basic data cleaning techniques, equipping them with the essential skills to enhance data quality and derive actionable insights for informed decision-making. -
3
The business case for AI and data scienceIn this lesson, "Unlocking Value: Building a Business Case for AI and Data Science," students will explore the critical components of crafting a compelling business case for implementing AI and data-driven solutions. They will learn to identify key value propositions, assess potential ROI, and communicate the strategic benefits of these technologies to stakeholders, empowering them to make informed decisions that drive organizational success. -
4
Exploring the Transformative Impact of AI Across Industries -
5
Matching key terms and concepts -
6
Foundational concepts MCQ Quiz
Data Acquisition, Cleaning, and Visualization
-
7
Data sources, data quality, and visualization best practicesIn this lesson, "Mastering Data: From Quality Sources to Effective Visualization," students will explore the critical importance of sourcing high-quality data and learn best practices for transforming that data into compelling visualizations. By the end of the lesson, participants will be equipped with the skills to evaluate data quality, select appropriate data sources, and create impactful visual representations that effectively communicate insights and drive decision-making.
-
8
Importing, cleaning, and visualizing business data in Open WebUIIn the "Mastering Business Data" lesson, students will gain hands-on experience in importing, cleaning, and visualizing business data using Open WebUI. By the end of this lesson, participants will be equipped with essential skills to transform raw data into insightful visual representations, enabling them to make informed decisions and enhance their data-driven strategies. Join us to unlock the power of data in a user-friendly environment!
-
9
How data quality impacts business outcomesIn this lesson, "Unlocking Success: The Impact of Data Quality on Business Outcomes," students will explore the critical role that data quality plays in driving effective decision-making and enhancing overall business performance. Through engaging discussions and real-world case studies, learners will uncover the ways in which accurate and reliable data can lead to improved strategic initiatives, increased efficiency, and ultimately, greater organizational success.
-
10
Unlocking Business Insights: A Data Visualization Assignment
-
11
Matching data types to business scenarios
-
12
Data handling and visualization MCQ Quiz
Descriptive and Diagnostic Analytics
-
13
Descriptive statistics, business dashboards, and diagnostic analyticsIn this lesson, "Unlocking Insights: Descriptive Statistics and Diagnostic Analytics for Effective Business Dashboards," students will explore the essential concepts of descriptive statistics and their application in creating impactful business dashboards. They will learn how to analyze data effectively, uncover trends, and utilize diagnostic analytics to make informed decisions that drive business success. By the end of the lesson, students will be equipped with the skills to transform raw data into actionable insights that enhance their dashboard reporting.
-
14
Creating dashboards and generating insights from business dataIn this engaging lesson, "Unlocking Business Insights: Mastering Dashboard Creation and Data Analysis," students will learn how to design impactful dashboards that effectively visualize data and reveal critical business insights. By mastering key data analysis techniques, participants will gain the skills needed to transform raw data into actionable strategies, empowering them to make informed decisions that drive business success.
-
15
Turning data into actionable business insightsIn this lesson, "Transforming Data into Actionable Business Insights," students will learn how to effectively analyze and interpret data to drive strategic decision-making in a business context. Through real-world examples and interactive discussions, participants will gain the skills to identify key trends, extract meaningful insights, and craft actionable strategies that lead to measurable business outcomes. Join us to unlock the potential of data and elevate your business acumen!
-
16
Unlocking Business Insights: Case Studies in Analytics
-
17
Match analytics types to business questions
-
18
Descriptive/diagnostic analytics MCQ Quiz
Predictive Analytics and Machine Learning for Business
-
19
Introduction to predictive analytics and machine learning conceptsIn "Unlocking Insights: Introduction to Predictive Analytics and Machine Learning Concepts," students will explore the foundational principles of predictive analytics and machine learning, learning how to leverage data to forecast trends and make informed decisions. Through engaging discussions and hands-on examples, participants will gain practical skills in analyzing datasets and uncovering actionable insights, setting the stage for more advanced studies in the field. Join us to discover how these powerful tools can transform data into meaningful predictions!
-
20
Building predictive models using Open WebUIIn this hands-on lesson, "Creating Predictive Models with Open WebUI: A Step-by-Step Guide," students will dive into the fundamentals of building predictive models using Open WebUI. Through interactive demonstrations and practical exercises, learners will gain essential skills in data analysis, model development, and evaluation techniques, empowering them to harness the power of predictive analytics in real-world applications. Join us to transform data into actionable insights!
-
21
Understanding model interpretation and evaluationIn this lesson, "Decoding Model Performance: A Guide to Interpretation and Evaluation," students will delve into the essential concepts of model evaluation and interpretation, equipping them with the skills to assess the effectiveness of machine learning models. Participants will learn how to critically analyze performance metrics, understand the implications of different evaluation techniques, and apply these insights to enhance their model-building process. By the end, students will be empowered to make informed decisions based on robust model evaluations.
-
22
Capstone Project: Building a Predictive Model to Tackle Business Challenges
-
23
Case studies on predictive analytics impact
-
24
Predictive analytics MCQ Quiz
What is the duration and format of the AI and Data Science in Business Intermediate Level Certification?
The course lasts for 6 weeks and is delivered online in a self-paced format with weekly modules.
What skills will I gain from this certification?
You'll acquire skills in data acquisition, cleaning, visualization, predictive modeling, and applying AI to optimize business operations.
How is the course assessed?
Assessment includes weekly quizzes, a final exam, and a capstone project to apply what you've learned.
What tools will I use during the course?
You will use the Open WebUI platform for interactive labs and practical applications throughout the course.
Prerequisites
-
Foundations of Artificial Intelligence Certification
$300
-
What is Prerequisite coursesA prerequisite is a specific course that you must complete before you can take another course at the next grade level.
Become Certified in AI & Business Science for Business in Only 4 Weeks!
Course details
Duration
4 Weeks
Lectures
12
Assignments
4
Quizzes
8
Level
Intermediate Courses
AI and Data Science in Business Certification
Google 
Facebook