Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, and Visualization Tools like PowerBi
What you'll learn?
The course provides the entire toolbox you need to become a data analyst
Fill up your resume with in-demand data analytics skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, and Advanced statistical analysis, with powerful visualization tools like power bi and tableau
Impress interviewers by showing an understanding of the data science field
Learn how to pre-process data
Understand the mathematics behind Machine Learning (an absolute must that other courses don’t teach!)
Start coding in Python and learn how to use it for statistical analysis
Perform linear and logistic regressions in Python
Carry out the cluster and factor analysis
Be able to create Machine Learning algorithms in Python, using NumPy, stats models
Apply your skills to real-life business cases
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
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