Data Science with Python
Data Science with Python
Published 10/2023
Duration: 6h44m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.08 GB
Genre: eLearning | Language: English
Published 10/2023
Duration: 6h44m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.08 GB
Genre: eLearning | Language: English
Data Analysis and Sentiment Analysis
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
Requirements
No programming experience needed. You will learn everything you need to know
Description
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.
Who this course is for:
Beginner Python developers curious about data science
More Info