Data Science with Python

Data Analysis and Sentiment Analysis

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.