Curriculum

You can start learning data analysis from scratch or build upon your existing skills. This course takes a realistic approach to the problems and concepts during the interactive sessions and projects. You will practice what you learn, tackle the challenges, and gain the skills that you need. The modules are divided as follows:

Module 1: Introduction to Data Analytics

1. Discover the scope of data analytics and its job opportunities.
2. Grasp the needs of the industry and the great analytics potential roles.
3. Describe significant analytics skills for employment readiness

Module 2: Tools and Setup for Analytics Success

1. A survey of the professional tools: Excel, SQL, Python, Tableau/Power BI.
2. Create and set up analytics environments for smooth workflow.
3. Manage the whole data analytics cycle.

Module 3: Data Foundations and Preparation

1. Gain an understanding of data types, data formats, and data storage systems.
2. Advance data collection and perform collection preprocessing techniques.
3. Learn and apply data quality verification and scalable data cleaning methods.

Module 4: Data Analytics with Excel

1. Learn how to use formulas in excel for advanced data editing.
2. Do complex data cleaning and editing tasks in excel.
3. Use pivot tables and charts for data analysis.

Module 5: SQL For Mastering Relational Data

1. Build optimized queries on complex relational structures.
2. Apply SQL for advanced tasks: joins, subqueries, and window functions.
3. Modify and enhance query performance with industry-grade standards

Module 6: Data Analytics Using Python

1. Apply Python in data manipulation and processing tasks.
2. Utilize Pandas and NumPy for efficient EDA processes.
3. Craft amazing visuals using Matplotlib and Seaborn.

Module 7: Advanced Data Visualization

1. Learn principles of effective data storytelling.
2. Build dynamic dashboards in Power BI or Tableau.
3. Customize visuals to support real-world decision-making.

Module 8: Applied Statistics and Analytics Concepts

1. Dive into descriptive and inferential statistics.
2. Conduct hypothesis testing with confidence intervals.
3. Explore machine learning basics and model-driven insights.

Module 9: Capstone Project

1. Solve real-world challenges with data analytics methods.
2. Build an interactive dashboard showcasing actionable insights.
3. Present findings through data storytelling techniques.

Module 10: Career Preparation

1. Craft a standout data analyst resume and portfolio.
2. Practice for technical and behavioural interviews with mock sessions.
3. Prepare for commonly asked data analytics interview questions.

Module 11: Continuous Learning and Networking

1. Access resources for certifications and advanced skills.
2. Build connections in the data analytics community.
3. Plan your growth with proven career advancement strategies.

Module 12: Capstone Project

Admission

If you have a passion for tech, start a new, more fulfilling career with a solution-focused mindset. Join our data analytics BootCamp and start your journey. At this point, you will begin acquiring a solid base in data analytics along with knowledge, skills, and abilities. 

How to Apply
Step 1: Click on apply now complete the registration form
Step 2: Submit your form
Step 3: Our team will review your application and guide you through the enrollment process
Step 4: Secure your spot and kickstart your journey toward becoming a professional Data Analyst!