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Price:
$3,995.00
Days:
1
Virtual
• Acquire a strong foundation in data science fundamentals, including an overview of the field, its project lifecycle, and essential statistical principles.
• Develop proficiency in handling and processing data by learning about various data types, storage technologies, and methods for data wrangling, imputation, and transformation.
• Enhance analytical capabilities through exploratory data analysis using data visualization tools and techniques, and explore the use of Generative AI for deeper insights.
• Master machine learning by understanding and applying both supervised and unsupervised algorithms, and explore complex problem-solving through advanced techniques like clustering and ensemble learning.
• Apply data-driven decision-making and storytelling skills in real-world scenarios, learning to extract and communicate insights effectively, culminating in a capstone project focused on employee attrition prediction.
• Bachelor’s degree in Computer Science, Information Technology, or a related field
• Proficiency in SQL and database management systems
• Experience with data modeling and database design
• Strong analytical and problem-solving skills
• Familiarity with data visualization tools
• Knowledge of data warehousing concepts
• Ability to work collaboratively in a team environment
• Excellent communication skills
– Foundations of Data Science
• Introduction to Data Science
• Data Science Life Cycle
• Applications of Data Science
– Foundations of Statistics
• Basic Concepts of Statistics
• Probability Theory
• Statistical Inference
– Data Sources and Types
• Types of Data
• Data Sources
• Data Storage Technologies
– Programming Skills for Data Science
• Introduction to Python for Data Science
• Introduction to R for Data Science
– Data Wrangling and Preprocessing
• Data Imputation Techniques
• Handling Outliers and Data Transformation
– Exploratory Data Analysis (EDA)
• Introduction to EDA
• Data Visualization
– Generative AI Tools for Deriving Insights
• Introduction to Generative AI Tools
• Applications of Generative AI
– Machine Learning
• Introduction to Supervised Learning Algorithms
• Introduction to Unsupervised Learning
• Different Algorithms for Clustering
• Association Rule Learning with Implementation
– Advance Machine Learning
• Ensemble Learning Techniques
• Dimensionality Reduction
• Advanced Optimization Techniques
– Data-Driven Decision-Making
• Introduction to Data-Driven Decision Making
• Open Source Tools for Data-Driven Decision Making
• Deriving Data-Driven Insights from Sales Dataset
– Data Storytelling
• Understanding the Power of Data Storytelling
• Identifying Use Cases and Business Relevance
• Crafting Compelling Narratives
• Visualizing Data for Impact
– Capstone Project – Employee Attrition Prediction
• Project Introduction and Problem Statement
• Data Collection and Preparation
• Data Analysis and Modeling
• Data Storytelling and Presentation
Support Diversity, Equity, and Inclusion with Every Purchase.
Great Horizons is a North Carolina Certified HUB Vendor and WOSB. By becoming a patron of our organization, you are not only supporting a historically underutilized business, but a woman-owned small business as well.
Give your organization the skills edge it needs. Our corporate training experts will work with you to design, deliver, and support a customized IT program that drives real business results.
4000 Centregreen Way
Suite #140
Cary, NC 27513