About this Event
Group Discounts:
Save 10% when registering 3 or more participants
Save 15% when registering 10 or more participants
About the Course:
Duration: 2 Full Day (16 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 16 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, Snacks and beverages will be provided during the session
Course Overview:
This Data Analytics course equips you with the skills to leverage AI, machine learning, and big data for data-driven decision-making. You will learn to analyze complex datasets, generate actionable insights, and use industry-standard tools to optimize business processes. The course emphasizes hands-on exercises, real-world case studies, and practical applications to ensure you can immediately apply analytics strategies in your organization. By the end, you will gain the confidence to transform raw data into strategic business decisions.
Learning Objectives:
By the end of this course, you will:
Be able to collect, clean, and analyze data effectively.
Gain proficiency in data visualization and dashboard creation.
Apply statistical methods and machine learning algorithms for actionable insights.
Understand big data frameworks and handle large datasets efficiently.
Make data-driven business decisions and forecast trends confidently.
Ensure ethical and secure use of data in your analytics processes.
Target Audience:
Data analysts, IT professionals, business intelligence specialists, data scientists, and anyone involved in decision-making using data in IT & Data Science domains.
Why is it the right fit for you:
This course is designed for individuals seeking to unlock the full potential of data in their organizations. With hands-on exercises and real-world applications, you will gain practical skills that go beyond theory. Our instructors bring industry experience, guiding you through challenges commonly faced in data projects. You will learn to leverage analytics for strategic advantage, optimize processes, and improve performance. Choosing this course ensures you stay ahead in the rapidly evolving field of data analytics and gain immediate practical value for your organization.
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Looking to empower your entire analytics team?
We offer customized in-house training tailored to your organization’s specific analytics needs. Our experts will design sessions to align with your team’s goals, data infrastructure, and industry context. This approach ensures that your staff receives relevant, hands-on learning that can be immediately applied to your projects. Whether it’s team workshops, department-wide training, or executive sessions, we provide flexible delivery and practical solutions.
📧 Contact us today to schedule a customized in-house session:
Agenda
Module 1: Introduction to Data Analytics
Info:
• Understanding the role of data in modern business
• Key concepts: structured vs unstructured data
• Overview of analytics tools and platforms
• Activity
Module 2: Data Collection & Cleaning
Info:
• Techniques for collecting accurate data
• Handling missing or inconsistent data
• Introduction to data preprocessing tools
• Case Study
Module 3: Data Visualization Fundamentals
Info:
• Principles of effective data visualization
• Tools: Tableau, Power BI, and Python libraries
• Designing dashboards for insights
• Activity
Module 4: Statistical Analysis for Data Insights
Info:
• Descriptive vs inferential statistics
• Probability distributions and hypothesis testing
• Correlation and regression analysis
• Case Study
Module 5: Introduction to Machine Learning
Info:
• Understanding supervised and unsupervised learning
• Common ML algorithms: regression, classification, clustering
• Evaluating model performance
• Activity
Module 6: Big Data Essentials
Info:
• Overview of Big Data architecture
• Tools: Hadoop, Spark, and cloud analytics platforms
• Managing large datasets efficiently
• Case Study
Module 7: Data-Driven Decision Making
Info:
• Translating data insights into business strategy
• Key performance indicators (KPIs) and metrics
• Aligning analytics with organizational goals
• Activity
Module 8: Predictive & Prescriptive Analytics
Info:
• Forecasting trends using historical data
• Optimization techniques for business decisions
• Scenario analysis and simulations
• Case Study
Module 9: Ethical & Security Considerations in Data
Info:
• Data privacy laws and regulations
• Ethical use of AI and analytics
• Ensuring data security in analytics projects
• Role Play
Module 10: Hands-On Analytics Project
Info:
• Integrating all learned techniques into a comprehensive project
• Data collection, cleaning, analysis, and visualization
• Presenting insights to stakeholders
• Activity
Module 11: Trends and Future of Analytics
Info:
• Emerging trends in AI and data science
• Impact of automation and predictive analytics
• Preparing for future analytics challenges
• Discussion
Event Venue & Nearby Stays
regus CA, San Jose - 18 S 2nd Street, 18 South Second Street, San Jose, United States
USD 542.07 to USD 705.91
