Data Science Training
Complete Data Science Training Course: Math, Python, Advanced Statistics, Machine Learning, NLP and Deep Learning.
What you'll learn
- Learn to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn.
- Learn how to pre-process data.
- Carry out cluster and factor analysis.
- Make robust Machine Learning models.
- Handle specific topics like Reinforcement Learning, NLP and Deep Learning.
- Know which Machine Learning model to choose for each type of problem.
- Learn NumPy and how it is used in Machine Learning.
- Explore large datasets using data visualization tools like Matplotlib and Seaborn.
- Deep Learning, Transfer Learning and Neural Networks using the latest Tensorflow 2.0.
- Learn about Data Engineering and how tools like Hadoop, Spark and Kafka are used in the industry.
- Apply your skills to real-life business cases.
- A portfolio of Data Science and Machine Learning projects to apply for jobs in the industry.
Our Training Process
Practical Session
Assignment
Projects
Resume Building
Interview Preparation
Be Job Ready
Practical Session
Assignment
Projects
Be Job Ready
Interview Preparation
Resume Building
Key Highlights
- Personalised career coach
- 90% Practical Training
- Certification
- Live Projects
- Study material
- Instant doubt solving
- 100% Job Assurance
- Case studies and Projects
245 Hrs
Training Duration
25000+
Students Trained
1000+
Hiring Companies
8.5 LPA
Highest Fresher Salary
Course Content
Python
- Introduction
- String manipulation
- Data structures
- Control loops
- Functions
- Object oriented programming
- Modules and packages
- Graphical user interface (GUI)
- Exception & file handling
- Variables
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- Advanced concepts
- API & Project
- Introduction to Data Science
- Introduction to Machine Learning
2
R Programming
- Fundamentals of R
- Vectors
- Matrices and arrays
- Lists
- Factors
- Data frames
- Programming structures
- Working with strings
- Plotting in base R
- Apply family
- Professional Projects
3
Machine Learning
- Introduction to Machine Learning (ML)
- Statistics for Data Science
- Data Visualization
- Exploratory Data Analysis
- Data reprocessing
- Linear regression
- Logistic Regression
- Decision trees & random forests
- Model evaluation techniques
- Dimensionality reduction using PCA
- KNN (K–Nearest Neighbours)
- Naive Bayes Classifier
- K-means clustering technique
- Support Vector Machines (svm)
- Time series forecasting
- Ensemble learning
- Stacking
- Optimization
- Capstone Projects
4
Deep Learning
- Machine Learning workflow.
- Artificial Neural Networks.
- The Activation Function.
- Building an ANN.
-
Convolutional Neural Networks.
- Pooling and Flattening.
-
Recurrent Neural Networks.
- RNN Intuition.
-
The Vanishing Gradient Problem.
- Inferential Statistics.
- Data visualization with Matplotlib.
- Encoding categorical variables.
- Logistic Regression.
- Building an AutoEncoder.
- Data reprocessing.
5
Generative AI
- Large Language Models (LLMs).
- LLM’s Industry use cases.
- Prompting Techniques.
- One Shot Prompting.
- FewS hot Prompting.
- OpenAI – GPT 3.5 / GPT 4.
- LangChain.
- Hugging Face.
- Google PaLM
- Google Gemini / Gemini Pro / Gemini Pro Vision.
6
NLP
- Introduction.
- Language analysis.
- Natural Language Understanding.
- Tokenization & stemming.
- POS and NER.
- Scikit-Learn Primer.
- Text Feature Extraction.
- Text Classification.
-
Semantics and Sentiment Analysis.
-
Topic Modeling
- Keras overview.
- Dialogue Systems.
- Speech Recognition and Text-to-Speech.
- Create ChatBots.
7
AWS
- Identity & Access Management (IAM)
- Simple Storage Service (S3)
- Networking
- Elastic Compute Cloud (EC2) – I
- Elastic Compute Cloud (EC2) – II
- Database services
- Individual services
- Route53
- Managed application services
- Analytics applications
- Capstone projects
8
MySQL
- Introduction to MySQL
- Inserting data
- Crud commands
- String functions
- Basic database terminology
- Mysql constraints
- Aggregate functions
- MySQL stored procedure – I
- MySQL stored procedure – II
9
Tableau
- Tableau basics
- Maps, scatterplots & your first dashboard
- Joining and blending data, plus: dual axis charts
- Table calculations, advanced dashboards, storytelling
- Advanced data preparation
10
Power BI
- Introduction
- Connecting & shaping data with Power BI desktop
- Creating table relationships & data models in Power BI
- Analyzing data with dax calculations in Power BI
- Visualizing data with Power BI reports
- Artificial Intelligence (AI) visuals
11
Professional Projects
- Customer Segmentation
- Recommender System
- Build a Chatbot
Skills you will gain
Course Certification
Become a Certified Data Scientist with TryCatch Classes and enhance your career prospects to the next level.
This certificate serves as an official badge of your successful Data Science training course completion, highlighting your expertise
This certificate serves as an official badge of your successful Data Science training course completion, highlighting your expertise
Students Reviews
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Genuine reviews for our Data Science Training
Darshan
Data Scientist
First and foremost, I was thoroughly impressed with the quality of education, it was on point of my expectations. They were able to break down complex concepts into easily digestible pieces, and their explanations were always clear and concise. Also every faculty present there is the industry expert himself.I also appreciated the emphasis that Try Catch Tech placed on hands-on learning. Rather than simply lecturing about the topic, the classes provided ample opportunities to put theory into practice. This approach not only helped me understand the concepts better, but it also gave me a sense of confidence when working with these technologies.Another aspect of Try Catch Tech that stood out to me was the supportive community that surrounded the classes. From fellow students to instructors, everyone was incredibly encouraging and willing to help each other out. This made for a collaborative learning environment that I truly appreciated. And their support is so much that even after completing my course I was always welcomed to sit and study there in the classes.Overall, I would highly recommend Try Catch Tech to anyone looking to learn anything from the course they offer. Personally I did python and machine learning which was a great experience for me. The quality of instruction, hands-on learning opportunities, and supportive community make it an excellent choice for both beginners and experienced programmers alike. Thank you, Try Catch Tech, for a wonderful learning experience!
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Sudarshan Paranjape
Data Scientist
I completed TryCatch Group’s Data Science course, and it was an enlightening journey! The comprehensive curriculum covered essential topics, and the instructors were knowledgeable and approachable. Hands-on projects boosted my confidence, and provided ample resources. The supportive team promptly addressed queries, and industry case studies enriched the experience.
The mentorship provided by Mohnish sir and Mehul sir was truly exceptional! Their expertise and passion for data science shone through in every aspect of the course.
Highly recommended for all skill levels, this course lays a strong foundation for a successful data science career. Thank you, TryCatch Group, for this amazing learning opportunity!
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Mansi Rathod
Data Scientist
I wanted to go to USA to do my Masters in Data Science. So I joined Trycatch and completed the Data Science course at TryCatch.
Anyone who’s willing to pursue Data Science in the future but has no to little knowledge about it, this class will definitely help you enhance your knowledge. Mehul and Mohnish being knowledgeable, will be there to guide you whenever needed. Overall experience was really good so I would definitely recommend this course.
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Mansi Rathod
Data Scientist
I wanted to go to USA to do my Masters in Data Science. So I joined Trycatch and completed the Data Science course at TryCatch.
Anyone who’s willing to pursue Data Science in the future but has no to little knowledge about it, this class will definitely help you enhance your knowledge. Mehul and Mohnish being knowledgeable, will be there to guide you whenever needed. Overall experience was really good so I would definitely recommend this course.
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Jamil Shaikh
Data Scientist
I have done Data Science course from Trycatch Classes. I would recommend this course as it gives good idea about the field also the staff are friendly and helpful. This course has helped me to understand my subjects easily.
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Jamil Shaikh
Data Scientist
I have done Data Science course from Trycatch Classes. I would recommend this course as it gives good idea about the field also the staff are friendly and helpful. This course has helped me to understand my subjects easily.
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Sujwal Shetty
Data Scientist
I had taken Python+ ML course here. The overall experience was very good, I got the internal switch to Data Science domain which i was looking for in my organisation. The faculty had great knowledge within the subject.
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Roshni Sharma
Data Scientist
What I especially appreciate is the professional and positive learning environment at TryCatch Classes. The trainers are highly experienced and skilled, which creates an excellent atmosphere for learning new skills and advancing your career.
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Student's Portfolio
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Success Stories
Frequently Asked Questions (FAQs)
What is the duration of the course?
Total duration of Data Science training course is approximately 6-8 months depending on the course you select. Throughout the course, you will receive hands-on practical training in each technology, with a focus on completing real-world projects.
Is there 100% Placement Guarantee after the course is over?
Yes, we provide 100% placement guarantee in our Data Science + Cloud training course in Mumbai.
Are there any prerequisites before starting Data Science Training?
No, anyone can learn Data Science.
Who teaches Data Science ?
At TryCatch, our team consists of seasoned experts with over 15+ years of experience. A skilled Data Scientist will be guiding students, encouraging them to ask questions without hesitation, and enabling us to effortlessly address all your inquiries.
Is the course Online or Offline?
This Data Science course is available offline & online both. You may choose whatever is feasible for you.
Offline course can be done at our Borivali Branch in Mumbai.
Online Live Course can be done on Zoom or Google Meet.
Who can learn Data Science?
This course is designed for everyone, even if you’re studying Commerce, Arts, or Mechanical subjects, or if you’re still in school. It doesn’t matter what your background is, you can definitely learn this course.
Do I need prior experience in Data Science?
No, prior experience is not required. This Data Science training course in Mumbai, India is designed to cater to both beginners and those with some background in Data Science.
What software and tools do I need for this course?
All the tools required for this training will be installed during the course.
Will I receive a certificate upon course completion?
Upon completion of the course, you will receive an official global Data Science certificate. This certificate serves as an official badge of your successful course completion, highlighting your expertise.
Can I interact with instructors and ask questions during the course?
Absolutely! Our instructors are always available to answer all your questions and solve your doubts.
Are there any real-world projects or case studies in the course?
Yes, we incorporate real-world live projects and case studies into the course to help you apply what you’ve learned in practical scenarios.
Is there a money-back guarantee if I’m not satisfied with the course?
We offer a satisfaction guarantee. If you are not satisfied with the course within a specified timeframe, you can request a refund.
Companies where our students are placed
Shoutout from Arjun Kapoor
and Vidya Balan
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Here's everything you're going to get
- Easy-to-follow modules
- Study Materials
- Tutorials
- Interview Q&A Library
- Industry Oriented LIVE Projects
- Mock Interviews
- 100% Guaranteed Placements
- Access to Private Jobs Group
- Be Job Ready
