Python, SQL, and machine learning algorithms are foundational elements in data analytics and data science. Python’s versatility and extensive libraries support various tasks, SQL enables efficient data retrieval and manipulation from relational databases, while machine learning algorithms empower the extraction of insights, predictions, and automation from data.

This curriculum is perfect for beginners with a grasp of basic statistics and programming, and also caters to experienced data professionals aiming to deepen their expertise in analytics and data science techniques.

Throughout this curriculum, you’ll delve into essential data analytics and data science techniques. You’ll learn data manipulation, statistical analysis, machine learning, and data visualization using Python, SQL, and relevant libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn.

While prior programming experience is beneficial, it’s not mandatory. We cover fundamental concepts as part of the course curriculum.

The duration of the course varies depending on your learning pace. On average, learners complete the course within 08 months.

The pricing for the course may vary based on different factors such as duration, additional resources, and support options. Please check our website or contact us directly for the most up-to-date pricing information.

Yes, we have a refund policy in place. Please refer to our terms and conditions or contact our support team for more information on our refund policy.

Yes, EMI options are available for the course. Please contact our support team for more information on the EMI plans and eligibility.

Yes, each student enrolled in our Data Science & Gen AI course will have access to experienced mentors who provide guidance, support, and feedback throughout the learning journey.

Our mentors are seasoned professionals with extensive experience in Data Science and teaching. They are dedicated to helping you succeed in mastering the skills required for Data Science.

You can communicate with your mentor through various channels such as live chat, email, video calls, or scheduled mentorship sessions, depending on your preference and availability.

Yes, we provide placement assistance to our students upon successful completion of the course. Our career services team offers support in resume building, interview preparation, and connecting with potential employers.

These roles are in high demand across various industries, including technology, e-commerce, healthcare, finance, and more. Our course prepares you for opportunities in a wide range of sectors.

While job placement ultimately depends on various factors including individual effort and market conditions, many of our graduates have secured positions as Data Analyst / Data Scientist in reputable companies. We also provide ongoing support to help you kickstart your career.