Scale-up Your Business with AI Online Course


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Sale price€900.00

Gone are the days when businesses make decisions based solely on speculation. A significant amount of effort and money was spent determining the root cause and resolving why a business decision had not functioned efficiently. In today's digital landscape, organizations are adopting a data-driven culture to avoid falling behind their competitors. Data-driven refers to a strategy method of exploiting data insights to identify new business possibilities, better serve customers, boost revenue, and enhance operations. It enables firms to make decisions based on evidence-based data and carefully prepare to achieve business objectives. Business leaders in data-driven organizations understand the benefits of relying on data insights to make wise business moves. Today, businesses' success depends upon full access to valuable data and quick action.

TechClass Scale-up Your Business with AI online course introduces data science as the primary key to extracting valuable insight from data in order to make data-driven decisions. You will learn how artificial intelligence and its subfields, including machine learning and deep learning, are transforming business these days. You will also learn how business intelligence, statistics, and data storytelling can boost businesses and reporting and dashboarding techniques. By the end of this course, you will have learned about data-driven approaches in business as well as tools and technologies that can be leveraged to implement them.

Learning outcomes

  • Get familiar with data science and artificial intelligence
  • Learn about machine learning and deep learning use cases in the industry
  • Learn about ethical issues that AI can raise up
  • Get acquainted with AI-based services in various fields, including vision, content generation, and web scraping
  • Get familiar with business intelligence and its importance in data-driven companies
  • Learn about cloud-based services
  • Get familiar with BI tools, including Tableau and Microsoft Power BI
  • Learn how programming languages in important for machine learning and data science
  • Get acquainted with the usefulness of statistics in the industry
  • Learn how to present your results effectively
  • Learn about the principle of persuading people with data
  • Get familiar with various roles in data-driven companies
  • Learn how to prepare a job ad description for various data-related roles

Table of contents

Chapter 1: Intro to course

  • 1.1. Welcome!
  • 1.2. About TechClass Data Science Department
  • 1.3. Learning Outcomes
  • 1.4. Your Expectations, Goals and Knowledge
  • 1.5. Copyright Notice
  • 1.6. Abbreviations

Chapter 2: Data Science Helps Businesses for Digitalization

  • 2.1. What is Data Science?
  • 2.2. Rising Industry Demand
  • 2.3. How Can Data Science Help Businesses?
  • 2.4. What You Will Learn Throughout This Course
  • 2.5. Quiz

Chapter 3: Make Your Business Smart with AI

  • 3.1. What is Artificial intelligence?
  • 3.2. AI Helps You Find VIP Customers
  • 3.3. The Potential of AI in Health Care
  • 3.4. AI Provides Better solutions in Travel Industry
  • 3.5. Quiz

Chapter 4: Machine Learning in Businesses

  • 4.1. What is Machine Learning?
  • 4.2. Every Business Gathers Data
  • 4.3. ML is Transforming the Retail Industry
  • 4.4. ML Leads to Smarter Manufacturing
  • 4.5. ML is Enhancing Logistic Industry
  • 4.6. Quiz

Chapter 5: Find Advanced Solutions for Your Business

  • 5.1. Deep Learning Offers Professional Solutions
  • 5.2. A modern Way of Security with Deep Learning
  • 5.3. Deep Learning is Reshaping Finance
  • 5.4. Using NLP for Business Success
  • 5.5. Quiz

Chapter 6: AI-based Services

  • 6.1. What are AI-based Services?
  • 6.2. NLP Services: Conversational AI Chatbots
  • 6.3. NLP Services: Text-to-Speech and Speech-to-Text
  • 6.4. NLP Services: Translators
  • 6.5. Vision Services: Face Detection
  • 6.6. Vision Services: Object Detection
  • 6.7. Content Generator Services
  • 6.8. Video Creator Services
  • 6.9. Web Scraping Services
  • 6.10. Quiz

Chapter 7: Ethics of AI

  • 7.1. What is Ethics in AI?
  • 7.2. Disinformation
  • 7.3. Privacy
  • 7.4. Bias and Fairness
  • 7.5. Quiz

Chapter 8: Boost Your Business with Business Intelligence

  • 8.1. What is Business Intelligence?
  • 8.2. Importance of Business Intelligence for Businesses
  • 8.3. Application of Business Intelligence
  • 8.4. BI and Data Science
  • 8.5. Quiz

Chapter 9: Tools and Technologies for Improving Your Business

  • 9.1. Databases
  • 9.2. BI Tools: Power BI
  • 9.3. BI Tools: Tableau
  • 9.4. Cloud-based Services
  • 9.5. Machine Learning with Amazon Web Services
  • 9.6. Machine Learning with Microsoft Azure
  • 9.7. Programming Languages in Data Science
  • 9.8. Python for Data Science
  • 9.9. Data Mining Tools
  • 9.10. Quiz

Chapter 10: Statistics for Decision Making?

  • 10.1. What is Business Statistics?
  • 10.2. Customers Retention Rate
  • 10.3. Visualize Key Metrics of Your Business
  • 10.4. Quiz

Chapter 11: Present Your Results Effectively

  • 11.1. Narrate Your Analysis Results
  • 11.2. Communication Mechanism
  • 11.3. Visualize Your Results
  • 11.4. Visual Design
  • 11.5. Intrigue the Target Market to Buy More Products?
  • 11.6. Quiz

Chapter 12: Roles in a Data-driven Company

  • 12.1. Roles in Data-driven Companies
  • 12.2. Our Approach for the Next Sections
  • 12.3. Data Scientist Job Ad Template
  • 12.4. Data Analyst Job Ad Template
  • 12.5. Machine Learning Engineer Job Ad Template
  • 12.6. Deep Learning Engineer Job Ad Template
  • 12.7. Data Engineer Job Ad Template
  • 12.8. BI Analyst Job Ad Template

Chapter 13: Final Project

  • 13.1. Final Project
  • 13.2. Self-study Essay

Chapter 14: Finishing the course

  • 14.1. What We Have Learned
  • 14.2. Where to Go Next?
  • 14.3. Your Opinion Matters
  • 14.4. Congrats! You did it!

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