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Course Code: IT 929
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Big Data Analytics with Python
Course Sector:
Information Technology
Course Dates and Locations
Choose a date and location to book your seat
No.
Date
Days
Location
Fees
Enrollment
01
5 Days
Singapore,SG $4,950
02
5 Days
Dubai, UAE $4,250
03
5 Days
Singapore,SG $4,950
Introduction
Training course introducion / brief
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 Objectives
At the end of the training course, participants will be able to
- Introduction to Data Science
- Different Sectors Using Data Science
- Knowledge Check
- Exploratory Data Analysis
- Introduction to Statistics
Course Audience
Who is this course for, and can benefit the most
This program is intended for professionals who are seeking to widen their knowledge on network technologies and/or prepare themselves for CompTIA Network+ Examination and Certification.
Course Outline
The course aims and learning outcomes
MODULE 1: DATA SCIENCE OVERVIEW
- Introduction to Data Science
- Different Sectors Using Data Science
- Purpose and Components of Python
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
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
MODULE 4 PYTHON ENVIRONMENT SETUP AND ESSENTIALS
- Anaconda
- Installation of Anaconda Python Distribution
- Data Types with Python
- Basic Operators and Functions
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
Providers and Associations
Providing the best training services and benefits to our valued clients
Boost certificate of completion
BOOST's Professional Attendance Certificate “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.
ENDORSED EDUCATION PROVIDER
Flexible deadlines
Customized dates accordance to your schedule
Shareable Certificate
Earn certificate upon completion
COURSE METHODOLOGY
Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).
At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.
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