Data Analytics with Python
Data analytics is the science of analyzing raw data in order to make conclusions about that information. Many of the techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption.
Data analytics techniques can reveal trends and metrics that would otherwise be lost in the mass of information. This information can then be used to optimize processes to increase the overall efficiency of a business or system.
Statistical Analysis and Business Applications
- Introduction to Statistics
- Statistical and Non-statistical Analysis
- Major Categories of Statistics
- Statistical Analysis Considerations
- Population and Sample
- Statistical Analysis Process
- Data Distribution
- Dispersion
- Histogram
- Testing
- Correlation and Inferential Statistics
Mathematical Computing with Python (NumPy)
- Introduction to Numpy
- Numpy vs Python Types
- Numpy Pros
- Numpy Typing
- Class and Attributes of ndarray
- Basic Operations
- Activity-Slice It
- Copy and Views
- Mathematical Functions of Numpy
- Class Exercised and Assignments
Working with Pandas
- Understanding Series
- Accessing Series
- Accessing Multiple Series
- Series Operations
- Understanding DataFrames
- Importing CSV Files
- Accessing CSV Columns as Series
- Reading Excel, json and SQL Tables
- Data Frame Operations
- Analysing Data
- Project – Analysing Olympics Data
Data Wrangling
- Data Pre-Processing
- Handling Missing Values
- Data Formatting
- Data Normalization
- Binning
- categorical variables into quantitative variables
Data Visualization in Python using matplotlib
- Understanding Plotting
- Lin, Bar and Pie Plots
- Format Plots
- Labels and Annotations
- Different kinds of plots
- Visualizing Data
- Class Project and Assignment
- Seaborn Charts
Class Project
- New York Taxi Data Analysis
EDA
- Exploratory Data Analysis
- Descriptive Statistics
- Group By, Correlation, Variance
Manipulating DataFrames
- Theory and Practice
- Extracting and Transforming Data
- Indexing
- Grouping Data
- Merging DataFrames with Pandas
Institution Certification certified by DOIS Education & Technologies Private Limited
Duration of Course: 3 Months
Course Price : 28,800 INR + GST OR 502 USD