The Python for DataScience course focuses on Python specifically for data science, and will introduce data manipulation and cleaning techniques using the popular python pandas data science library, will continue with NumPy adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
Module 1: DataScience: Introduction to pandas 1
– DataFrames
– Insert
– Delete
– Select
Module 2: DataScience: Introduction to pandas 2
– Merging
– Conditionals
Module 3: DataScience: Introduction to NumPy
– Vectors
– Matrix operations
– Sorting
– Indexing
– Broadcast
Module 4: DataScience: Introduction to sklearn 1
– Preprocess
– Model Select
– Pipeline
Module 5: DataScience: Introduction to sklearn 2
– Feature Selection
– Metrics
– One Hot Encoding
Module 6: Matplotlib visualization / SeaBorn
– 2D plotting
– Histograms
– HeatMap
Module 7: IPython Notebook
The Python for DataScience course focuses on Python specifically for data science, and will introduce data manipulation and cleaning techniques using the popular python pandas data science library, will continue with NumPy adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
Module 1: DataScience: Introduction to pandas 1
– DataFrames
– Insert
– Delete
– Select
Module 2: DataScience: Introduction to pandas 2
– Merging
– Conditionals
Module 3: DataScience: Introduction to NumPy
– Vectors
– Matrix operations
– Sorting
– Indexing
– Broadcast
Module 4: DataScience: Introduction to sklearn 1
– Preprocess
– Model Select
– Pipeline
Module 5: DataScience: Introduction to sklearn 2
– Feature Selection
– Metrics
– One Hot Encoding
Module 6: Matplotlib visualization / SeaBorn
– 2D plotting
– Histograms
– HeatMap
Module 7: IPython Notebook
Be the first to hear about our latest courses by signing up to our mailing list.
Contact