Business & Data Analytics
4 months online Data & Business Analytics Course with Certification and 1 year Placement Support
Contents
Python : Weeks 1 - 3
- ✔Introduction to Python
- ✔Understanding Data Types
- ✔Clean Coding Practice
- ✔Conditional Statements
- ✔Control Flow Statements
- ✔Basic & Advance Functions
- ✔Advance Comprehensions
- ✔Object Oriented Programming
- ✔Introduction to NumPy
- ✔Broadcasting and Shaping in NumPy
- ✔Computation using NumPy
- ✔Introduction to Pandas
- ✔Data Types in Pandas
- ✔Grouping, Merging & Joining in Pandas
- ✔Advance Pandas Functions
- ✔Data Analysis using Pandas
- ✔Data Manipulation using Pandas
- ✔Introduction to Matplotlib
- ✔Data Visualization using Matplotlib
- ✔Capstone Project
What We Offer ?
1 year
Placement Support
1:1 Personal
Mentorship
300 Hours
Live Classes
100 Hours
Interview Prep
100+
Live Tests
5+ Industry
Based Projects
200 Hours
Aptitude Prep
15+ Mock
GDs/Interview
30 Hours
Case Study Prep
Course Feedback
Machine Learning
The Machine Learning syllabus was covered in great depth. Even the toughest algorithms were explained in an easy-to-understand manner. The MCQs encompassed the entire syllabus, making them very effective for online assessments. The mock interviews were especially helpful, with detailed explanations on how to approach and answer questions correctly.
Sai Yashwanth
Accordian
Statistics
Statistics lectures were detailed and well-structured. I found it fascinating to learn that movie ratings aren't quantitative. Concepts like normal distribution and the Central Limit Theorem were covered in-depth. The MCQs were a great addition, preparing me thoroughly for OA tests. Jay Sir also provided invaluable advice on framing answers during interviews, which helped me succeed in my own.
Akanksha
Piramal Finance
SQL
The basics of SQL were covered in detail, and we practiced numerous relevant questions. We also explored different approaches to solving the same problem, which enhanced my understanding of the concepts. Doubts were addressed effectively, making it much easier to handle SQL questions in tests and interviews.
Anuj
Deloitte
Statistics
The Statistics course took me from zero to interview-ready. The notes and lectures provided were more than enough to master the concepts, and the easy revision format made learning efficient. The MCQs were particularly helpful in boosting my confidence and preparing me for real-world interviews.
Gargi
Laaybe's Technology
Python
I started Python from scratch, and now I'm more than ready for interviews. Attending just live lecture gaves me the confidence I needed, and the live coding sessions during the lectures were a game changer. The MCQs and tests provided excellent practice for Online Assesments
Gargi
Laaybe's Technology
Python
The live interactive coding sessions were crucial for mastering Python syntax. My favorite topic was Broadcasting in NumPy, which came up in interviews. The MCQs were well-rounded, covering every possible challenge we might face, making the learning process smoother and more confident.
Akanksha Verma
Moody's Analaytics
Python
Very detailed. Absolutely loved the way small concepts which are usually overlooked was covered. The course was more than adequate for OA tests and interview preparation. And the mcqs covered all the concept with much detail. Learned a lot from MCQ forms as well
Rachna
Javis
Statistics
The Statistics course was eye-opening. Jay Sir simplified complex topics like hypothesis testing and CLT with real-world examples, making learning enjoyable. The detailed notes and MCQs made revision seamless, and the interview framing tips were invaluable.
Souvik
Groww
Statistics
The Statistics course provided a solid understanding of foundational concepts like probability, distributions, and hypothesis testing. Real-life examples made the topics relatable and easy to grasp, connecting theory with real-world scenarios seamlessly.
Abhay
Tiger Analytics
Statistics
Statistics concepts like distributions and hypothesis testing were covered comprehensively. The quizzes helped reinforce understanding, and the clarity with which the concepts were explained made them easier to apply during interviews.
Anuj
Deloitte
Machine Learning
The ML course was transformative. Jay Sir broke down complex concepts like bias-variance into simple terms, with in-depth explanations and practical projects. His focus on real-world applications made learning impactful and prepared me for interviews.
Souvik
Groww
Python
The entire Python course was structured and descriptive, making it easy to follow. The notes were incredibly helpful for revision, and the MCQs provided great clarity so much so that I solved them twice. The course covered every type of question. A key highlight was learning list comprehension, which came up in my interview something I didn’t find in any other Python resources.
Akanksha
Piramal Finance
Machine Learning
I had struggled with ML concepts before, but Jay Bhaiya’s clear and simple explanations made them easy to understand. Complex algorithms were taught in such a way that I could grasp them in just one session.
Abhay
Tiger Analytics
Statistics
Clarity of concept. I had watched various playlist for stats on YouTube but was unable to form a storyline about what happens and why. The structure of the course was impeccable. Just had to go through it once along with note making, revise the notes, digest what was written along with thinking about whys and hows and I didn't need to revise the notes until a day before interview.
Rachna
Javis
SQL
The SQL course was well-structured, with notes that were incredibly helpful for quick revision during tests and interviews. The concise yet comprehensive approach made learning and applying SQL much easier
Abhay
Tiger Analytics
SQL
The SQL class was highly interactive, and the shared resources were extremely helpful. Although I had previously learned SQL, I hadn't focused much on problem-solving. Practicing coding questions in live classes, along with the revision notes, built my confidence in SQL and improved my query-writing skills significantly.
Akanksha
Piramal Finance
SQL
The SQL course was clear and concise, covering all foundational topics with well-structured lessons. The theoretical explanations and organized content made the learning process smooth and engaging. It was a solid introduction to SQL with practical relevance.
Mayank
Meesho
Statistics
Learning statistics from this course felt much more intuitive and industry connected compared to other courses where it is only mathematical. Inferential Statistics, particularly Distributions and Hypothesis Tests, were my favorite. The MCQs gave me confidence and served as excellent revision tools. The notes were more than enough for last-minute interview preparation.
Kamaltosh
Barclay's
Statistics
The flow of teaching in Statistics was excellent. Jay Sir used industry-based examples for every topic, making the concepts relatable. The notes were comprehensive, covering both code and visualizations, which made understanding much easier. MCQs were incredibly helpful in testing and solidifying my grasp of the concepts.
Sai Yashwanth
Accordian
Machine Learning
The Machine Learning course offered in-depth live lectures that covered every concept thoroughly. There was no rote learning involved, just a deep understanding of the material. The MCQs were great for practice, and when Linear Regression assumptions came up in interviews, I was ready with a solid grasp of the details.
Kamaltosh
Barclay's
Python
The Python course was comprehensive and well-structured. All essential interview topics were covered in-depth with clear examples, making even complex concepts easy to grasp. The detailed notes and video lectures boosted my confidence in using Python for data analytics and data science
Mayank
Meesho
Python
The Python course was structured perfectly, covering everything with clarity. The syntax explanations, paired with examples, made learning easy. The tests and MCQs gave me a moral boost, and the notes proved invaluable for last-minute online assessment preparation.
Kamaltosh
Barclay's
Python
The course was well-structured and in-depth. It provided a clear understanding from start to finish, covering all topics for placement. It was an intuition-building focused and offering lectures, notes, and exercises. Additionally, it gave significant attention to numpy and pandas, going beyond what other courses offer, with live implementation of codes in notebooks.
Nimish
Beghou Consulting
Statistics
The Statistics course clarified complex concepts like probability, distributions, and hypothesis testing. Real-life examples made learning relatable and engaging. Topics like inferential statistics were linked to practical applications, and MCQs covered all critical areas, ensuring efficient revision and interview readiness.
Alekhya
BNY Mellon
Python
The Python course by Data Avengers was exceptional. Jay Sir's teaching made complex topics simple with practical examples, while Rahul Sir's DSA sessions and focus on key interview questions were invaluable. The well-structured notes and hands-on projects made revision effortless and learning effective. Highly recommended!
Souvik
Groww
Machine Learning
I liked the way that we cover the bulletins that we made after the heading of topic It reduced the bais of reading one thing in depth and leaving other.
Nimish
Beghou Consulting
Python
The Python course was highly structured and practical. Notes included detailed codes and real-world examples, making concepts like list comprehension, map, lambda functions easy to grasp. Live coding sessions provided valuable problem-solving experience, while MCQs and tests reinforced learning. This course made me confident and well-prepared for technical interviews.
Alekhya
BNY Mellon
SQL
The SQL course was meticulously designed to build a strong command over database management. Live coding sessions were a highlight, making it easy to see how queries work in real-time. Key topics like joins, subqueries, and aggregation were explained with clarity and reinforced through practical exercises.The curated list of frequently asked SQL interview questions was exceptional.
Alekhya
BNY Mellon
Statistics
Although I had studied Statistics in college, this course provided a deeper understanding, especially in terms of real-world applications and amazing intution. My doubts about hypothesis testing and comparing sampling techniques were finally cleared in-depth. The MCQs covered all topics thoroughly, and every concept taught was asked in interviews.
Akanksha Verma
Moody's Analaytics
Statistics
The course was well-structured with clear examples, making complex statistics concepts easier to grasp. The organized syllabus and effective doubt-clearing sessions, especially for hypothesis testing, were very helpful.
Nimish
Beghou Consulting
Machine Learning
I particularly loved the way the information was passed in the way it can be structured in points while answering questions in interviews.Didn't need to 'learn' all the assumptions and advantages/ disadvantages of models because the structure in which it was fed into my brain just connected all the dots about cause and effects and hows and why.
Rachna
Javis
SQL
The SQL course was excellent! Jay Sir's interactive teaching style, practical examples, and comprehensive notes made mastering SQL easy. The shared sheet of interview questions was a huge help, giving me confidence to tackle technical challenges
Souvik
Groww
Python
Before this course, I used Python syntax without understanding the nuances, like why lists differ from NumPy arrays. Jay Bhaiya’s teaching not only explained the theory but also demonstrated practical applications, making these concepts crystal clear.
Abhay
Tiger Analytics
SQL
I enjoyed learning the basics through SQL Zoo and solving the questions from the provided sheet.
Nimish
Beghou Consulting
Machine Learning
The Machine Learning course easily expalined ,e complex algorithms with clear explanations and practical examples. Concepts like bias-variance tradeoff and regression models were taught in-depth, with a focus on intuition. Projects and MCQs were better than anywhere else. My intervieweres even pointed out that my projects are exceptional
Alekhya
BNY Mellon
Machine Learning
The first class on bias and variance laid the perfect foundation for the entire Machine Learning course. Jay Sir’s approach to teaching assumptions, intuitions, and concepts was excellent, and I was able to apply this knowledge effectively during interviews.
Akanksha
Piramal Finance
Statistics
The Statistics course provided a perfect balance of theory and practical applications. Complex topics like hypothesis testing and CLT were broken down with clarity, making them easy to understand. The structured approach ensured helped ,e get advance knowledge in Stats from 0. The Notes and MCQs were amazing for OA's and Interviews.
Mayank
Meesho
Python
Python was taught in a simple and structured manner, with clear explanations of syntax, concepts, and edge cases through examples. Quizzes, including coding challenges and MCQs, were helpful for preparation. Practical examples of libraries like NumPy and Pandas were covered, and the puzzles provided great practice for tackling tricky interview questions.
Anuj
Deloitte
Machine Learning
I had struggled with ML concepts before, but Jay Bhaiya’s clear and simple explanations made them easy to understand. Complex algorithms were taught in such a way that I could grasp them in just one session.
Anuj
Deloitte
Python
The Python course was extensively covered, starting from the basics to advanced levels. All essential libraries were taught in detail, and both in-class examples and study materials were instrumental in memorizing syntax. Topics like NumPy and Pandas were taught in a way that surpasses any other course I’ve come across.
Sai Yashwanth
Accordian
Machine Learning
The ML course was incredibly detailed and well-organized. Concepts likeDBSCAN, PCA and algorithm assumptions were thoroughly explained, making them easy to understand. The structured approach and logical flow made the course highly valuable and engaging
Mayank
Meesho