Data Analysis Course

Our in-depth course in data analysis offers a broad curriculum that addresses the critical topics needed to master data analysis. The course covers advanced Excel skills, database administration and SQL querying, Python programming for data analysis and machine learning, and Power BI for efficient data visualization. Students get a comprehensive grasp of the data analysis process, enabling them to succeed in today's data-driven environment.

Pros of the Course:

• Enhanced Problem-Solving : By giving you the tools to recognize trends, spot anomalies, and solve complicated issues with data-driven methods, data analytics enables you to take well-informed decisions.
• Improved Forecasting and Strategic Planning : Data analytics enables accurate forecasts and successful business strategies for improved forecasting and planning by analyzing patterns and trends from previous data.
• Practical Application in Everyday Life : Data analytics expertise has real-world applications in daily life. Effective data organization may help with personal budgeting, and clearly communicating complicated data enhances communication abilities.
• Empowered Decision-Making : Your ability to extract important insights from complicated datasets thanks to your proficiency in data analytics will help you to make well-informed judgments in a variety of industries, including business, finance, and healthcare.

Course Modules:

• Excel (Basic, Intermediate, Advanced)
• Mathematics & Statistics
• SQL(Structured Query Language)
• Git and GitHub
• Python
• Machine Learning
• R Language
• ETL/ELT
• Power BI
• Tableau
• Python GUI and SQLite (Add On)

Skills You Will Gain:

• The students will acquire following set of skills after completing this Training Course.
• Data Visualization : Master the skill of using interactive visualizations, charts, and graphs to display complicated data in a way that is visually appealing and ensures stakeholders can understand and digest the information with ease.
• Data Mining : Learn how to use methods like clustering, classification, and association analysis to extract hidden patterns, trends, and insights from huge datasets, allowing decision-making based on insightful data findings.
• SQL and Database Querying : Gain proficiency in relational database extraction, manipulation, and analysis using SQL (Structured Query Language), improving data analysis procedures and boosting data-driven insights.
• Programming Proficiency : Become proficient in programming languages like Python to automate activities, analyze data more effectively, streamline workflows, and produce more significant outcomes.
• Business Acumen : Develop a thorough grasp of business principles and subject-matter expertise, coordinating data analysis activities with corporate goals, and making data-driven suggestions that promote company success.