This plan includes
- Limitedfree coursesaccess
- Play & PauseCourse Videos
- VideoRecorded Lectures
- Learn onMobile/PC/Tablet
- Quizzes andReal Projects
- Lifetime CourseCertificate
- Email & ChatSupport
What you'll learn?
- Essential Python data types and data structure basics with Libraries like NumPy and Pandas for Data Science or Machine Learning Beginner.
Course Overview
Pre-requisites
- A decent configuration computer and the willingness to lay the corner stone for your big data journey.
Target Audience
- Data science enthusiasts who want to begin their career.
Curriculum 61 Lectures 06:10:39
Section 1 : Introduction to Python.
Section 2 : Preparing Computer - Installing Anaconda.
- Lecture 1 :
- Preparing Computer - Installing Anaconda.
Section 3 : Python Strings.
- Lecture 1 :
- Python Strings-Part 1
- Lecture 2 :
- Python Strings-Part 2
Section 4 : Python Numbers and Operators.
- Lecture 1 :
- Python Numbers and Operators- Part 1
- Lecture 2 :
- Python Numbers and Operators- Part 2
Section 5 : Python Lists.
- Lecture 1 :
- Python Lists - Part 1
- Lecture 2 :
- Python Lists - Part 2
- Lecture 3 :
- Python Lists - Part 3
- Lecture 4 :
- Python Lists - Part 4
- Lecture 5 :
- Python Lists - Part 5
Section 6 : Python Sets.
- Lecture 1 :
- Python Sets - Part 1
- Lecture 2 :
- Python Sets - Part 2
Section 7 : Python Tuples.
- Lecture 1 :
- Python Tuples.
Section 8 : Python Dictionary.
- Lecture 1 :
- Python Dictionary - Part 1
- Lecture 2 :
- Python Dictionary - Part 2
Section 9 : Numpy Library - Introduction.
- Lecture 1 :
- Numpy Library - Introduction - Part 1
- Lecture 2 :
- Numpy Library - Introduction - Part 2
- Lecture 3 :
- Numpy Library - Introduction - Part 3
Section 10 : Numpy Array Operations and Indexing.
- Lecture 1 :
- Numpy Array Operations and Indexing - Part 1
- Lecture 2 :
- Numpy Array Operations and Indexing - Part 2
Section 11 : Numpy Multi-Dimentional Arrays.
- Lecture 1 :
- Numpy Multi-Dimentional Arrays - Part 1
- Lecture 2 :
- Numpy Multi-Dimentional Arrays - Part 2
- Lecture 3 :
- Numpy Multi-Dimentional Arrays - Part 3
Section 12 : Introduction to Pandas Series.
- Lecture 1 :
- Introduction to Pandas Series.
- Lecture 2 :
- Introduction to Pandas Dataframes.
Section 13 : Pandas Dataframe conversion and drop.
- Lecture 1 :
- Pandas Dataframe conversion and drop - Part 1
- Lecture 2 :
- Pandas Dataframe conversion and drop - Part 2
- Lecture 3 :
- Pandas Dataframe conversion and drop - Part 3
Section 14 : Pandas Dataframe summary select.
- Lecture 1 :
- Pandas Dataframe summary select - Part 1
- Lecture 2 :
- Pandas Dataframe summary select - Part 2
- Lecture 3 :
- Pandas Dataframe summary select - Part 3
Section 15 : Pandas Missing Sort.
- Lecture 1 :
- Pandas Missing Sort - Part 1
- Lecture 2 :
- Pandas Missing Sort - Part 2
Section 16 : Pandas Heirarchial-Multi Indexing.
- Lecture 1 :
- Pandas Heirarchial-Multi Indexing.
Section 17 : Pandas CSV File Read Write.
- Lecture 1 :
- Pandas CSV File Read Write - Part 1
- Lecture 2 :
- Pandas CSV File Read Write - Part 2
Section 18 : Pandas Json read write
- Lecture 1 :
- Pandas Json read write.
Section 19 : Pandas Concatnation Merging and Joining.
- Lecture 1 :
- Pandas Concatnation Merging and Joining - Part 1
- Lecture 2 :
- Pandas Concatnation Merging and Joining - Part 2
- Lecture 3 :
- Pandas Concatnation Merging and Joining - Part 3
Section 20 : Pandas Stacking and Pivoting.
- Lecture 1 :
- Pandas Stacking and Pivoting - Part 1
- Lecture 2 :
- Pandas Stacking and Pivoting - Part 2
Section 21 : Pandas Duplicate Data Management.
- Lecture 1 :
- Pandas Duplicate Data Management.
Section 22 : Pandas Mapping.
- Lecture 1 :
- Pandas Mapping.
Section 23 : Pandas groupby.
- Lecture 1 :
- Pandas groupby.
Section 24 : Pandas Aggregation.
- Lecture 1 :
- Pandas Aggregation.
Section 25 : Pandas Binning or Bucketing.
- Lecture 1 :
- Pandas Binning or Bucketing.
Section 26 : Pandas Reindex Rename.
- Lecture 1 :
- Pandas Reindex Rename - Part 1
- Lecture 2 :
- Pandas Reindex Rename - Part 2
Section 27 : Pandas Replace Values.
- Lecture 1 :
- Pandas Replace Values.
Section 28 : Pandas Dataframe Metrics.
- Lecture 1 :
- Pandas Dataframe Metrics.
Section 29 : Pandas Random Permutation.
- Lecture 1 :
- Pandas Random Permutation.
Section 30 : Pandas Excelsheet Import.
- Lecture 1 :
- Pandas Excelsheet Import.
Section 31 : Pandas Condition Selection and Lambda Function.
- Lecture 1 :
- Pandas Condition Selection and Lambda Function - Part 1
- Lecture 2 :
- Pandas Condition Selection and Lambda Function - Part 2
Section 32 : Pandas Ranks Min Max.
- Lecture 1 :
- Pandas Ranks Min Max.
Section 33 : Pandas Cross Tabulation.
- Lecture 1 :
- Pandas Cross Tabulation.
Section 34 : Graphs and plots using matplotlib.
- Lecture 1 :
- Graphs and plots using matplotlib - Part 1
- Lecture 2 :
- Graphs and plots using matplotlib - Part 2
Section 35 : Histograms using matplotlib.
- Lecture 1 :
- Histograms using matplotlib.
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Frequently Asked Questions
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