course | Big Data Analytics with Python
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IT-823 | Big Data Analytics with Python
Course Sector : Information Technology
| Duration | Date from | Date to | Course Venue | Course fees | Book a course |
|---|---|---|---|---|---|
| 5 Days | 2025-04-21 | 2025-04-25 | Amsterdam | $5,950 | Book now |
| 5 Days | 2025-05-19 | 2025-05-23 | Madrid | $5,950 | Book now |
| 5 Days | 2025-06-16 | 2025-06-20 | Abu Dhabi | $4,250 | Book now |
| 5 Days | 2025-09-08 | 2025-09-12 | Dubai | $4,250 | Book now |
| 5 Days | 2025-12-29 | 2026-01-02 | Singapore | $4,950 | Book now |
Course Introduction
Python has been one of the most adaptable, and robust open-source languages that are easy to learn and uses powerful libraries for data manipulation and analysis. For many years now, Python has been used in scientific computing and mathematical domains such as physics, finance, oil and gas, and signal processing.
This Big Data Analytics with Python course provides a complete overview of data analysis techniques using Python. A Data Scientist is one of the strongest professions today and Python is a crucial skill for such roles.
The Big Data Analytics with Python course teaches you to master the concepts of Python programming. Through this training, you will gain knowledge of the essential tools of Data Analytics with Python.
Course objective
- Introduction to Data Science
- Different Sectors Using Data Science
- Knowledge Check
- Exploratory Data Analysis
- Introduction to Statistics
Course Outline | Day 01
MODULE 1: DATA SCIENCE OVERVIEW
- Introduction to Data Science
- Different Sectors Using Data Science
- Purpose and Components of Python
Course Outline | Day 02
MODULE 2: DATA ANALYTICS OVERVIEW
- Data Analytics Process
- Knowledge Check
- Exploratory Data Analysis
- EDA-Quantitative Technique
- EDA – Graphical Technique
- Data Analytics Conclusion or Predictions
- Data Analytics Communication
- Data Types for Plotting
- Data Types and Plotting
Course Outline | Day 03
MODULE 3: 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
- Correlation and Inferential Statistics
Course Outline | Day 04
MODULE 4 PYTHON ENVIRONMENT SETUP AND ESSENTIALS
- Anaconda
- Installation of Anaconda Python Distribution
- Data Types with Python
- Basic Operators and Functions
Course Outline | Day 05
MODULE 5: MATHEMATICAL COMPUTING WITH PYTHON (NUMPY)
- Introduction to NumPy
- Activity-Sequence it Right
- Creating and Printing an nd array
- Class and Attributes of nd array
- Basic Operations
- Copy and Views
- Mathematical Functions of NumPy
- Evaluate the datasets containing GDPs of different countries
BOOST’s Professional Attendance Certificate “BPAC”
BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.
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