The University of Texas at Austin Campus - Build a successful career in Data Science and Business Analytics
- Offered byGreat Learning
- Private Institute
Build a successful career in Data Science and Business Analytics at Great Learning Overview
Duration | 12 months |
Total fee | ₹2.49 Lakh |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
- Faculty
Build a successful career in Data Science and Business Analytics at Great Learning Highlights
- Earn dual certificate from UT Austin & Great Lakes
- Weekly online mentorship by experts
- Dedicated career support
- Doubt-Solving with Expert Industry mentors
- Dual Certificate from top universities
- Fee can be paid in instalments
Build a successful career in Data Science and Business Analytics at Great Learning Course details
Python
Tableau
SQL
NLP with Generative AI
ChatGPT
Machine Learning
Predictive Modelling
Neural Networks & Computer Vision
This course teaches you how to read, explore, manipulate, and visualize data to tell stories, solve business problems, and deliver actionable insights and business recommendations by performing exploratory data analysis using some of the most widely used Python packages
It also teaches you how to perform statistical analysis using Python to evaluate the reliability of a particular business estimate using confidence intervals and test hypotheses (assumptions) before putting them into action and committing resources by analyzing data distributions and performing hypothesis testing
Build a successful career in Data Science and Business Analytics at Great Learning Curriculum
Python for Data Science
Python Programming
Python for Data Science
Exploratory Data Analysis
Inferential Statistics
Inferential Statistics Foundations
Common Statistical Tests
Decision Trees
Predictive Modeling
Introduction to Supervised Learning - Linear Regression
Linear Regression Assumptions and Statistical Inference
Machine Learning - 1
Logistic Regression
Decision Trees
Machine Learning - 2
Bagging and Random Forest
Boosting
Model Tuning
Unsupervised Learning
K-means Clustering
Hierarchical Clustering and PCA
Introduction to Generative AI
Introduction to Generative AI
Introduction to Prompt Engineering
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