IT & Software Path
Multivariate Regression and Time Series
3.8k+ Enrolled
Self - Paced Advanced Programmes
16 Modules
What you will learn
1
The course provides the entire toolbox you need to become a data scientist2
Deep knowledge of Statistical analysis \ Python programming with NumPy | pandas | matplotlib | and Seaborn3
Advanced statistical analysis | Tableau4
Machine Learning with stats models and scikit-learn5
Deep learning with TensorFlow6
Impress interviewers by showing an understanding of the data science fieldMastery & Benefits
Understand the mathematics behind Machine Learning
Start coding in Python and learn how to use it for statistical analysis
Perform linear and logistic regressions in Python
Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
Unfold the power of deep neural networks