Simplilearn

I am new to this Data World. I'd say the session was pretty well-rounded and insightful.
- got a snapshot of career trends, and what real-world applications look like.
She does her best to walk us through everything
Practical examples help us understand.... Read More
Sometimes her pace is bit fast to align with curriculum. May be Curriculum may accommodate with extra classes.

I really enjoyed the course. Superb Training- Ideal for what was needed! Excellent pace and use of time Well delivered Good subject knowledge Training has already been put into practice. very good and professional trainer I enjoyed and found this course... Read More most helpful Thank you.

I feel this course will help me in my professional life, but i feel the course could still be from more basic level as me not being from tech background I m finding it a bit difficult, but overall the course is good and the trainer taking the course also... Read More has a good teaching style.

Pros: She prepares well curated data PPT's , but the CONs are she reads only PPT and dont have any other explanation other than PPT, just reading the ppt wont make the course fruitful, I dont need her to the next course as the trainer , very disappointed... Read More by her way of teaching. Always reading and its not a college leture where she asks everytime, we have paid money for this particular course and its been very unprofessional to be handled.

Good Course. I like the way Amit is teaching this.
Haven't heard anything about the placements until now.
This is just a basic Python class, and we can also learn on YouTube. No need to pay a fee for this. Could have focused more on Data engineering Python... Read More concepts by taking one more extended session.
I just hate how these SimplyLearn people interrupt in the middle of the session and ask for a review. This is not professional.

The course provides a comprehensive foundation for anyone looking to enter the field of data science. Covering key topics such as data wrangling, statistical analysis, data visualization, and basic machine learning, the course is well-structured for beginners.... Read More It typically starts with Python programming, ensuring that even those without prior coding experience can follow along. Libraries like Pandas, NumPy, and Matplotlib are introduced early on, allowing learners to perform real-world data analysis tasks quickly.

One of the course's strengths lies in its hands-on approach. Through numerous exercises, quizzes, and capstone projects, students actively apply concepts rather than just memorizing theory. The datasets used in the assignments are varied and interesting—ranging from public health to financial data—helping students appreciate the diverse applications of data science.

Another highlight is the clear instruction and logical flow of content. Concepts such as data cleaning and exploratory data analysis are explained step-by-step, often with visual aids. For more technical topics like hypothesis testing or model evaluation, the course offers intuitive explanations that balance theory and application.

While the course is beginner-friendly, it may feel fast-paced for those entirely new to programming or statistics. Supplementing the course with additional practice or foundational material in math can be helpful.

The class is great and cool, even though it is basic course but the teacher is looking to make to fancy and eligantly. His explanation is clear and simple, which can help a learner to follow the class easily. I am so happy to take this python course with... Read More him, and glad to share my experience with others or collegues.

Based on my experience, the content currently being delivered in the four-hour class can be effectively covered within a three-hour session. The primary reason for this suggestion is the noticeable decline in attention and engagement during the final... Read More hour, particularly from 10 PM to 11 PM.

Teaching has been excellent so far for python course. All the concepts are being explained clearly with basic examples and easily understandable way. Trainer is coming down to student level and explaining in a simplistic way that every beginner can understand.... Read More

Course Name: PC DE: Python Basics for Data Engineering
Trainer Name: Amit Singh
Feedback: I really like the pace and how clear the instructor is. Engages with students and insists that we engage. It would be great if the course is recorded for later review.... Read More