Course Highlights
- This 500+ hours Advanced Data Science with Python training will accelerate your career as it covers relevant topics & pushes you to work on real-time scenarios.
- Industry experts from fortune companies
- Dedicated In-house data scientist team accessible round the clock
- Flexible Online and Classroom training sessions
- Backup Classes and access to the Learning Management System (LMS)
- One-to-One Mentorship and Technical Support
- FREE Data science Internship on our projects & products
- 30+ POCs and use cases to work, learn, and experiment
- Bi-weekly Industry connects from industry experts from various sectors
- Opportunity to participate in Meet-ups, Hackathons, and Conferences
- Dedicated training programs for NON-IT professionals
- 100% placement assistance
- Globally Recognized Certification from IBM
- Job Roles-
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- Deep learning Engineer
- Computer Vision Engineer
- NLP Engineer
- Eligible for GOVT. OF INDIA Incentives
-
Skill Type
-
Course Duration
-
Domain
-
GOI Incentive applicable
-
Course Category
-
Nasscom Assessment
-
Placement Assistance
-
Certificate Earned
-
Content Alignment Type
-
NOS Details
-
Mode of Delivery
Course Details
What will you learn in Advanced Data Science with Python course?
By the end of this course participant will be able to:
- Write quality code with the help of Python Programming Language
- Extract, load and transform the data
- Scrap data using web scraping tools and libraries
- Apply the CRISP-DM framework on any business problem
- Apply statistical testing on a real-world dataset
- Design and implement ML solutions to classification, regression, and clustering problems
- Develop and deploy Data Science applications
Why you should take Advanced Data Science with Python course?
- Instructor led LIVE classes
- Opt. for either classroom or online training
- Hands on experience within demand tools and technologies
- Curated curriculum according to industry standards
- 1:1 Mentorship from Data Scientist
- Dedicated technical doubt resolution round the clock
Who should take Advanced Data Science with Python course?
- Students and Professionals
Curriculum
Module 1:
Python Core and Advanced - Introduction to Programming, String, Collections, Conditional and Looping statement, Functions, File and Exceptional Handling, Object Oriented Programming, etc.
Module 2:
Data Analysis in Python - NumPy, Pandas, Matplotlib, Seaborn, etc.
Module 3:
Advanced Statistics - Descriptive Statistics, Probability Fundamentals, Distribution, Inferential Statistics, Hypothesis Testing
Module 4:
SQL for Data Science - MySQL Workbench, Queries, CRUD Operation, etc.
Module 5:
Machine Learning- KNN, Naive Bayes, Linear Regression, Logistic Regression, Decision Tree, Ensembles, Clustering, PCA, etc.
Module 6:
Deep Learning - ANN, Optimization, Activation Functions, Forward and Backward Propagation, Open CV, CNN, R-CNN, NLP, Text Preprocessing, RNN, LSTM, Transformer
Module 7:
Tableau for Data Science
Tools you will learn in Advanced Data Science with Python course
- IDLE
- Anaconda Navigator
- Jupyter notebook
- MySQL
- Visual Studio
- Google Colab
- AWS
- Pandas
- NumPy
- Scikit Learn
- Spacy
- NLTK
- Keras
- TensorFlow
- OpenCV