Duration 5 days -35 hrs.
Overview
Welcome to our Data Analytics and SQL Training, a comprehensive program designed to empower participants with the skills and knowledge needed to excel in the field of data analytics and database management. This course seamlessly integrates principles of data analysis with practical SQL application, providing a well-rounded learning experience.
Objectives
- Provide participants with a foundational understanding of data analytics principles and SQL fundamentals.
- Develop hands-on proficiency in SQL for effective database querying, design, and optimization.
- Equip participants with essential techniques for cleaning, preprocessing, and transforming data to ensure accuracy and reliability.
- Master EDA techniques to uncover patterns, trends, and insights from diverse datasets.
- Explore advanced SQL topics such as joins, subqueries, indexing, and transaction management for optimized database operations.
- Learn the importance of effective data visualization and reporting, and gain proficiency in tools like Tableau and Power BI.
- Introduce the application of machine learning in data analytics, covering supervised and unsupervised learning, model evaluation, and practical use cases.
- Apply acquired skills in a real-world project, showcasing the ability to analyze and derive insights from complex datasets.
- Enhance decision-making skills through data-driven insights, enabling participants to make informed business decisions.
- Prepare participants for roles such as Data Analyst, SQL Developer, and Business Intelligence Specialist by combining technical and practical skills.
- Provide exposure to industry-standard tools and techniques used in data analytics and SQL.
- Foster a collaborative learning environment where participants can engage with peers, share insights, and build a network within the data analytics and SQL community.
Audience
- Data Enthusiasts: Individuals passionate about working with data and eager to harness its power for informed decision-making.
- Business Analysts: Professionals seeking to enhance their analytical skills and leverage data to drive strategic business decisions.
- Database Administrators: Those responsible for managing and optimizing databases, looking to expand their skills in SQL and data analytics.
- SQL Developers: Developers proficient in SQL aiming to deepen their understanding and explore advanced concepts for efficient database management.
- Aspiring Data Analysts: Individuals aspiring to enter the field of data analytics and acquire the necessary skills for data exploration and analysis.
- IT Professionals: IT specialists looking to broaden their expertise in data-related tasks and enhance their problem-solving capabilities.
- Recent Graduates: Graduates with a background in computer science, business, or related fields seeking practical skills for a successful career start.
- Professionals in Transition: Individuals transitioning from other roles to pursue opportunities in the dynamic fields of data analytics and SQL.
- Data Analysts: Individuals responsible for analyzing data to derive insights and support decision-making processes.
- Business Intelligence Specialists: Professionals focusing on transforming raw data into actionable intelligence for organizational growth.
- SQL Developers and Administrators: Experts in SQL who wish to expand their knowledge and proficiency in both SQL and data analytics.
- Database Managers: Those overseeing the design, implementation, and maintenance of databases, aiming to enhance data management practices.
- IT Managers: Managers responsible for IT operations, keen on understanding and leveraging data analytics for business improvement.
- Project Managers: Professionals overseeing projects involving data analysis, seeking to enhance project outcomes through data-driven insights.
- Entrepreneurs and Business Owners: Individuals leading businesses interested in leveraging data analytics for strategic decision-making and improved performance.
- Professionals in Various Industries Delegates from diverse industries such as finance, healthcare, marketing, and more, looking to harness data for sector-specific insights.
Pre- requisites
- Basic understanding of computer science concepts.
- Familiarity with fundamental mathematical concepts is beneficial.
- No prior experience in Data Analytics or SQL is required.
- Enthusiasm for working with data and a desire to enhance analytical skills.
Course Content
Module 1: Introduction to Data Analytics and SQL
- Overview of Data Analytics and its Applications
- Introduction to Relational Databases (SQL Server DB/Oracle)
- Basics of SQL: SELECT, WHERE, GROUP BY
Module 2: SQL for Data Analytics
- Advanced SQL Queries: JOINs, Subqueries
- Data Cleaning and Preprocessing in SQL
Module 3: Power BI Fundamentals
- Introduction to Power BI and its Interface
- Loading and Transforming Data in Power BI
Module 4: Advanced Power BI Features
- Data Modeling and Relationships in Power BI
- Creating Visualizations in Power BI
- Dashboard Design Principles in Power BI
Module 5: Tableau Basics
- Introduction to Tableau and Connecting to Data
- Building Basic Visualizations in Tableau
Module 6: Advanced Tableau Features
- Sorting, Grouping, and Filtering in Tableau
- Mapping and Spatial Analysis in Tableau
- Storytelling with Data in Tableau
Module 7: Integration and Case Studies
- Integrating Power BI and Tableau with SQL Server DB/Oracle
- Case Studies and Real-world Applications
- Q&A and Course Wrap-up
