Mastering the Fundamentals: A Practical Journey into Data Analytics

Why Choose Know Data?

At KnowData Academy, we don’t just teach—we mentor, guide, and equip you for real-world success. Our program stands apart for several key reasons:

1. Industry-Driven Curriculum

Our curriculum is designed in close collaboration with industry leaders and data professionals to ensure it’s always aligned with the latest market demands. You’ll learn tools and techniques that are in high demand today, such as Python, SQL, Power BI, and Apache Spark, preparing you to tackle real-world problems with practical solutions.

2. Hands-On, Project-Based Learning

Theoretical knowledge is important, but the real value comes from applying what you’ve learned. In our course, you won’t just listen to lectures—you’ll engage in hands-on projects that mirror the challenges you’ll face in the field. By the end of the course, you’ll have completed multiple projects, including a Capstone Project that showcases your ability to solve real business problems using data science.

3. Guaranteed Certification & Job-Ready Skills

Upon successful completion, you’ll receive a professional certification from KnowData Academy, recognized by top employers. But certification alone isn’t enough—what sets our program apart is that you’ll graduate with job-ready skills and the confidence to ace technical interviews, thanks to our focus on applied learning and mock interview preparation.

4. Distinguished Faculty with Industry Experience

Our faculty members aren’t just instructors—they are seasoned professionals with years of hands-on experience in data science, analytics, and technology. Learn from experts who have worked with top companies and bring valuable industry insights to every session.

5. Personalized Learning Experience

Our dedicated student support ensures you never feel lost. With access to teaching assistants, mentors, and peer support groups, you’ll always have someone to turn to for help. Additionally, our live weekend classes offer the flexibility to balance your learning with other commitments.

6. Flexible Learning Access

Missed a live session? No problem. All our sessions are recorded and available for up to 3 years. This means you can revisit any topic whenever you need, making it a perfect resource for continuous learning.

7. Career Development Support

At KnowData Academy, we understand that data science skills alone don’t guarantee career success. That’s why we include professional development modules to help you build a powerful resume, optimize your LinkedIn profile, and shine during interviews. Our public speaking, leadership, and teamwork sessions ensure you have the soft skills employers value.

Upon completing this course, you will be fully equipped to pursue roles like Data Analyst, Machine Learning Engineer, Business Analyst, and Data Scientist. Our certification is recognized by top companies, helping you stand out in a competitive job market.

By choosing KnowData Academy, you’re not just gaining a skill set—you’re joining a community of learners, mentors, and industry experts committed to your success.

Enroll Now
Don’t miss the opportunity to transform your career. Join us today and start your journey towards mastering data science!

For admissions, visit knowdata.in or contact us at contact@knowdata.in

Curriculum

Our beginner-friendly curriculum is designed to take you from no prior knowledge to a confident, job-ready data professional. We focus on building a strong foundation in data analysis and visualization, ensuring you’re well-equipped to tackle real-world challenges with ease.

1. Understanding Data and Basics of Excel

We start with the basics, ensuring you grasp essential concepts like:

Data Fundamentals: Learn what data is, how it’s collected, and its role in decision-making across industries.
Data Basics: Learn foundational concepts of data analytics, including the role of data in decision-making and its importance across industries.
Excel for Data Analysis: Master the basics of Excel, including creating charts, reports, and using powerful functions like pivot tables. You’ll develop a strong foundation in organizing and analyzing data sets efficiently.
Tools & Platforms: Gain proficiency in Excel and Python for data manipulation and visualization. Understand how to work with SQL to query and manage databases effectively.

2. Data Handling & Visualization

Python is one of the most versatile and beginner-friendly programming languages. We’ll introduce you to:

Python Programming Fundamentals: Learn the core concepts of Python, including variables, loops, functions, and data structures.
Data Manipulation: Discover how to use Python libraries like Pandas and NumPy to clean, organize, and analyze data efficiently. This section ensures you’re comfortable with Python basics, making it easier to progress into more advanced techniques in the future.
Data Visualization: Learn how to create impactful visualizations with Matplotlib, translating complex data sets into actionable insights for stakeholders.

3. Intermediate SQL & Database Management

SQL is the backbone of any data-related task, and we’ll guide you through its fundamentals:

Basic SQL Queries: Learn how to extract, filter, and manipulate data using SQL. No prior programming experience required.
Database Concepts: Understand the basic structure of databases and how data is stored, managed, and retrieved. By the end of this module, you’ll confidently write basic SQL queries to manage and query databases

Once you’ve mastered the basics, we move on to intermediate SQL skills:

Complex Queries: Learn how to join tables, group data, and perform advanced filtering.

4. Power BI for Data Visualization

Data analysis is incomplete without the ability to present it effectively. In this module, you’ll learn to:

Create Dashboards and Reports: Use Power BI to create visually engaging reports and dashboards that communicate your data story clearly.
Interactive Visualizations: Learn to design interactive reports that allow stakeholders to explore data insights. Power BI is a powerful tool for turning raw data into meaningful insights, and you’ll master how to present data that drives action.

5. Data Storytelling and Business Problem Solving

Data analysis isn’t just about the numbers—it’s about solving real-world problems and communicating insights effectively. In this module, you’ll:

Storytelling with Data: Learn how to translate data into narratives that stakeholders can understand and act upon.
Business Problem Solving: Apply your data analysis skills to solve common business challenges, making your work highly valuable to employers.

6. Capstone Project

Capstone Project: Build a machine learning model to predict lead conversion success. This project encapsulates everything you’ve learned, providing tangible proof of your data science capabilities.

Develop Your Professional Edge

At KnowData Academy, we believe in holistic development. In addition to technical skills, we help you build the soft skills required to thrive in the workplace:

Public Speaking & Presentation Skills: Learn to present your data analysis confidently and clearly to stakeholders.
Resume Building & LinkedIn Optimization: Tailor your online presence to catch the attention of recruiters and industry leaders.
Interview Preparation: Get ready for technical and behavioral interviews through mock sessions, feedback, and expert advice.
Leadership & Teamwork: Cultivate essential leadership qualities and teamwork skills that will set you apart in any organization.

Tools & Platforms

Excel: Learn how to use advanced Excel techniques like pivot tables, charts, and complex functions to manage and analyze data.
Python: Gain hands-on experience with Python programming, from basic syntax to advanced machine learning algorithms like logistic regression and decision trees.
SQL: Understand database querying, management, and design with a focus on MySQL.
Power BI: Master data visualization techniques, building dashboards and reports that translate data into powerful narratives.
Apache Spark: Learn big data processing techniques, allowing you to handle large datasets efficiently.

Generative AI Tools: Explore cutting-edge technologies like ChatGPT, DALL-E, and OpenAI APIs, integrating AI capabilities into your data science workflow.