Duration 5 days -35 hrs.
Overview.
Welcome to our Comprehensive Data Science and SQL Training, an immersive program designed to equip participants with the knowledge and skills needed to thrive in the dynamic world of data. This course seamlessly integrates both Data Science and SQL, providing a holistic understanding of data management, analysis, and interpretation.
Objectives
- Develop a strong foundation in Data Science and SQL concepts for effective data management and analysis.
- Gain hands-on proficiency in SQL for efficient database design, querying, and manipulation.
- Learn essential techniques to clean and preprocess data, ensuring quality and accuracy in analysis.
- Master EDA techniques to uncover patterns, trends, and insights from diverse datasets.
- Explore advanced SQL concepts such as joins, subqueries, indexing, and transaction management.
- Apply acquired skills through real-world projects, enhancing practical problem-solving abilities.
- Prepare for roles like Data Scientist, SQL Developer, and Business Analyst with a blend of technical and practical skills.
- Benefit from guidance by experienced instructors emphasizing practical application throughout the course.
- Engage with peers, share insights, and build a network within the data science and SQL community.
- Showcase skills with a practical capstone project, creating a portfolio-ready piece of work.
Audience
- Database Administrators: Professionals responsible for database management and optimization, aiming to broaden their skills in SQL and data analysis.
- Business Analysts: Those interested in leveraging data to extract insights for informed decision-making and strategic planning.
- SQL Developers: Professionals working with SQL databases who want to deepen their knowledge and explore advanced concepts.
- IT Professionals: IT specialists aiming to enhance their data-related skills for improved data management, analysis, and reporting.
- Recent Graduates: Graduates with a background in computer science, mathematics, or related fields seeking to kickstart a career in data technology.
- Professionals in Transition: Individuals transitioning from other roles to pursue opportunities in the growing fields of Data Science and SQL.
- Analytics Enthusiasts: Those with a keen interest in analytics and a desire to acquire practical skills for data-driven decision-making.
- Anyone Seeking Data Proficiency: Individuals from various backgrounds who recognize the importance of data in today’s business landscape and want to build essential skills.
Pre- requisites
- Basic understanding of computer science concepts.
- Familiarity with fundamental mathematics and statistics is beneficial but not mandatory.
- No prior experience in Data Science or SQL is required
Course Content
Module 1: Introduction to Data Science and SQL
- Overview of Data Science and its Applications
- Introduction to Relational Databases
- Basics of SQL: SELECT, WHERE, GROUP BY
- Advanced SQL Queries: JOINs, Subqueries
- Data Cleaning and Preprocessing in SQL
Module 2: Power BI Fundamentals
- Introduction to Power BI and its Interface
- Loading and Transforming Data in Power BI
- Data Modeling and Relationships in Power BI
- Creating Visualizations in Power BI
- Dashboard Design Principles in Power BI
Module 3: Advanced Power BI Features
- DAX (Data Analysis Expressions) in Power BI
- Power BI Service and Collaboration
- Power BI Embedded and APIs
- Power Query Advanced Transformations
- Power BI Best Practices and Optimization
Module 4: Tableau Basics
- Introduction to Tableau and Connecting to Data
- Building Basic Visualizations in Tableau
- Sorting, Grouping, and Filtering in Tableau
- Mapping and Spatial Analysis in Tableau
- Storytelling with Data in Tableau
Module 5: Advanced Tableau Features
- Calculations and Advanced Analytics in Tableau
- Tableau Server and Online Collaboration
- Integrating Tableau with Other Tools
- Tableau Dashboard Optimization
- Case Studies and Real-world Applications
