Data Science & Big Data Overview Tools, Tech & Modern Roles in the Data-Driven Enterprise (TTDS6000)
Explore Big Data Tools, Skills and How to Leverage Data Science to Drive Innovation and Make impactful Business Decisions
FormatsVirtual Classroom LiveTopicsAI & machine learning · GK Polaris
What you’ll learn
- Understanding Data Science in Business
- Overview of Data Science and its Evolution
- Importance of Data Science in Business
- Key Terminologies in Data Science
- Data Science vs. Traditional Business Intelligence
- Demo
- Data Collection and Preparation
- Learn about the sources of data and methods to collect and prepare data for analysis.
- Sources of Data in Business
- Data Collection Techniques
- Data Cleaning and Pre-processing
- Demo
- Introduction to Analytics and Statistical Methods
- Explore basics of analytics and statistical methods used in data science.
- Descriptive vs. Inferential Statistics
- Common Statistical Methods and Their Business Applications
- Basics of Data Visualization
- Demo
- Introduction to Machine Learning for Business
- Understand the fundamentals of machine learning and its application in business decisions.
- Overview of Machine Learning
- Supervised vs. Unsupervised Learning
- Common Machine Learning Algorithms in Business
- Demo
- Data Visualization and Interpretation
- Learn how to visualize and interpret data to derive actionable business insights.
- Importance of Data Visualization
- Common Data Visualization Tools (Tableau, PowerBI, Qlik, Looker etc.)
- Demo
- Big Data, Hadoop, and Business Decisions
- Understand the concept of big data, the Hadoop ecosystem, and how it can be leveraged for strategic business decisions.
- Introduction to Big Data
- Overview of the Hadoop Ecosystem and its Components
- Big Data Technologies and Tools (Hadoop, Spark, Hive, Cassandra, etc.)
- Integrating Big Data into Business Strategy
- Big Data for Predictive Analysis
- Challenges and Ethical Considerations in Big Data
- Demo
- Common Tools, Languages & AI in Data Science
- Gain insights into the common tools and languages used in data science, the role of AI, and modern data science roles.
- Common Data Science Tools and Languages (Python, R, SQL, and Java)
- Introduction to AI in Data Science
- New AI Tools in Data Science
- Modern Roles in Data Science (Data Analyst, Data Engineer, Data Scientist)
- Demo
- Implementing Data Science in Business
- Gain insights on how to successfully implement data science projects in a business environment.
- Building a Data-Driven Culture
- Roles and Responsibilities in a Data Science Team
- Project Management for Data Science
- Data Science in Action
- Q&A session & Recap
- Group discussion on the application of data science in participants' respective businesses
- Additional resources and guides for further self-paced learning
Upcoming training
No upcoming dates are listed yet. You can still enquire with flexible dates, and we’ll check options for your team.