Course Provider
What will you learn in this 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
IBM Certified Data Science
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Skill Type
Emerging Tech
- Domain
Artificial Intelligence
- Course Category
Deepskilling Course
- Placement Assistance
Yes
- Certificate Earned Joint Co-Branded Participation Certificate & Partner Completion certificate
- Nasscom Assessment Coming Soon
- Course Covered under GoI Incentive
Yes
-
- Course Price
INR 90,000
- Course Duration
530 Hours
- Course Price
Why should you take this 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 this 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 this course
- IDLE
- Anaconda Navigator
- Jupyter notebook
- MySQL
- Visual Studio
- Google Colab
- AWS
- Pandas
- NumPy
- Scikit Learn
- Spacy
- NLTK
- Keras
- TensorFlow
- OpenCV