Data Science with Python

Name: Data Science with Python
Rating: 4.5 (28 reviews)

Data Analysis and Sentiment Analysis

Last updated 10/2023

English

What you'll learn

iPython, Jupyter Notebook, Python and Anaconda
NumPy Module, Data Structures in Python
Functions in Python For loop, If While Statements Types of Data, Computing Mean Median Mode
Computing Mean, Median, Mode Data Visualization Computing Variance, Standard Deviation
Computing PDF (Probability Density Function) and PMF (Probability Mass Function)
Knowing Data Distribution, Identifying Percentile, Moments and Data Shape
Exploring Matplotlib for Bar chart, Pie chart and Scatter plot
Downloading and analyzing Facebook Data
Downloading and using the Hotel Review data
Sentiment Analysis on Hotel Review data

8 sections • 10 lectures • 8h 55m total length

Introduction31:35
Introduction to Data Science, Soft Computing, Machine Learning, Deep Learning, AI, Neural Networks
Downloading and Installing Anaconda

The students will learn following contents in this course

Installing Anaconda with Python distribution
Installing Python libraries
Using iPython, Jupyter Notebook, Python and Anaconda
NumPy Module, Data Structures in Python
Functions in Python For loop, If While Statements Types of Data, Computing Mean Median Mode
Types of data you may encounter and how to treat them accordingly
Statistical concepts of mean, median, mode, standard deviation, and variance
Types of data distributions and how to plot them
Understanding percentiles and moments
Computing Mean, Median, Mode Data Visualization Computing Variance Standard Deviation
Computing PDF (Probability Density Function) and PMF (Probability Mass Function)
Knowing Data Distribution, Identifying Percentile, Moments and Data Shape
Exploring Matplotlib for Bar chart, Pie chart and Scatter plot
Machine learning, Training Data, Test Data, Prediction, Accuracy, Other evaluation measures
Facebook Data Analysis
Downloading data from Kaggle Data and analyzing it with Python
Sentiment Analysis from Hotels Review Dataset

If you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this course is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this course to be very useful.