Data Science with Python

The students will learn following contents in this course Installing Anaconda with Python distribution Installing Python libraries Using iPython, Jupyter Notebook, Python and AnacondaNumPy Module, Data Structures in Python Functions in Python For loop, If While Statements Types of Data, Computing Mean Median ModeTypes 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 momentsComputing Mean, Median, Mode Data Visualization Computing Variance Standard DeviationComputing PDF (Probability Density Function) and PMF (Probability Mass Function) Knowing Data Distribution, Identifying Percentile, Moments and Data ShapeExploring Matplotlib for Bar chart, Pie chart and Scatter plotMachine 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.