About this course
Course Description:
Mellow Academy offers one of the best Data Science courses in Delhi and the top Data Science courses in Noida, designed to equip you with the skills and knowledge needed to thrive in the rapidly evolving field of Data Science. This course provides a comprehensive introduction to Data Science, combining theoretical concepts with practical, industry-focused applications.
What We Will Teach:
In this course, you'll learn the fundamentals of Data Science, starting with an overview of its importance and applications across various industries. We’ll cover essential programming languages like Python and R, laying a strong foundation in programming concepts such as variables, data types, control structures, functions, and modules. Additionally, we’ll delve into the mathematical underpinnings of Data Science, including linear algebra, calculus, and statistics—skills crucial for data analysis and machine learning.
Course Highlights:
Industry-Relevant Curriculum: Our curriculum is designed to mirror the challenges faced by Data Scientists in the real world, ensuring you gain hands-on experience that’s directly applicable to your future career.
Capstone Projects: Apply your learning to real-world datasets, performing exploratory data analysis and presenting insights, just like a professional Data Scientist.
Experienced Instructors: Learn from seasoned professionals who bring real-world experience and insights into the classroom.
Who Is This Course For?
This course is ideal for:
Aspiring Data Scientists and Analysts looking to start a career in Data Science.
IT professionals seeking to upskill and transition into the Data Science domain.
Graduates in fields like engineering, mathematics, or computer science who want to enhance their employability with in-demand Data Science skills.
Course Duration:
Total Duration: 12 Weeks
Mode of Learning: Online with live interactive sessions and hands-on projects.
How Will We Teach:
Our teaching methodology emphasizes a blend of theoretical instruction and practical application. You’ll engage in live, instructor-led sessions where complex concepts are broken down into easily digestible modules. Each week, you’ll work on practical exercises and projects that simulate real-world Data Science challenges. Additionally, our 1-on-1 mentorship and regular feedback ensure you’re on the right track throughout the course.
Join Mellow Academy’s Data Science course and step into a rewarding career equipped with the skills demanded by top employers in Delhi, Noida, and beyond.
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This session introduces the core concepts of Data Science, explaining its significance in the modern world. You will understand why Data Science is crucial in decision-making processes across various industries.
Explore real-world case studies of Data Science applications in industries like healthcare, finance, e-commerce, and manufacturing. The session focuses on how data-driven decisions enhance business processes and outcomes.
A guide to various career opportunities in Data Science, from Data Analyst to Machine Learning Engineer. Learn about the skill sets required for each role and how to plan your career path in this field.
Get hands-on experience with Python and R, the two most popular programming languages in Data Science. This session covers installation, setup, and basic syntax, helping you to choose the right tool for your projects.
Dive into the basics of programming, focusing on essential concepts like variables, data types, and control structures. These foundations are crucial for writing efficient code for data analysis.
Learn how to structure your code using functions and modules, making it more reusable and organized. This session includes practical exercises in writing using functions and importing modules.
Understand the key concepts of linear algebra, including vectors, matrices, and eigenvalues, which are fundamental in data manipulation and machine learning algorithms.
Explore the basics of calculus, focusing on differentiation and integration, and how these concepts apply to optimizing machine learning models.
This segment covers the essentials of probability and statistics, including distributions, hypothesis testing, and statistical significance. You will learn how to interpret data and draw meaningful insights from it.