Data analysis

Data Analysis Course

Our in-depth data analytics course offers a broad curriculum that covers the crucial topics needed to master data analytics. The course covers advanced Excel skills, database management and SQL queries, Python programming for data analysis and machine learning, and Power BI for efficient data visualization. Students will gain a comprehensive understanding of the data analysis process, allowing them to succeed in today’s data-driven environment.

Benefits of the course

Enhanced Problem Solving: By giving you the tools to recognize trends, detect anomalies, and solve complex problems with data-driven methods, data analytics empowers you to make well-informed decisions.

Improved Forecasting and Strategic Planning: Data analytics enables accurate forecasting and successful business strategies for improved forecasting and planning by analyzing patterns and trends from past data.

Practical Application in Daily Life: Data analytics expertise has real-world applications in everyday life. Effective data organization can help with personal communication and communicating complex data clearly improves communication capabilities.

Empowered Decision Making: Your ability to extract important insights from complex data sets through your skills in data analysis will help you make well-informed decisions in a variety of industries, including business, finance and healthcare.

Skills you will acquire

After completing this training, students will acquire the following set of skills.

Data Visualization: Master the skill of using interactive visualizations, charts and graphs to represent complicated data in a way that is visually appealing and allows stakeholders to easily understand and process the information.

Data Mining: Learn how to use methods like clustering, classification, and association analysis to extract hidden patterns, trends and insights from massive data sets, enabling decision-making based on insightful data findings.

SQL and Database Queries: Gain proficiency in extracting, manipulating and analyzing relational databases using SQL, improving data analysis procedures and increasing data-driven insights.

Programming skills: Become proficient in programming languages such as Python to automate activities, analyze data more effectively, streamline workflows and produce more significant results.

Business acumen: Develop a deep understanding of business principles and subject matter expertise, coordinate data analysis activities with business objectives, and make data-driven suggestions that drive business success.


  1. Weather forecast
  2. Predicting cancer, malignant or benign
  3. Predicting stock prices
  4. Prediction of wine quality
  5. Power BI projects
Shopping Basket