Data Science with Phython

Course details

OVERVIEW: Python is an interpreted, object-oriented, high–level programming language with dynamic semantics. Python for Data Science course enables a professional to master the concepts of Python programming.

CAREER OPPORTUNITIES:

Market Trends: Python is rising in significance among Data Science professionals, with Python programming becoming a preferred skill for 46% of Data Science jobs. As reported by Grand View Research, the global market for Data Science platforms is projected to reach $ billion by 2027, growing at a CAGR of Compared to the meteoric rise of the market, there is a dearth of 250k professionals with Data Science skills, with Python being one of the most demanding.

Salary Trends: The role of Data Scientist has seen tremendous growth over the past year and is considered to be the third highest–paid job in the UAE. Data Science professionals in Dubai fetch an approximate salary of 32,500 AED per month. On the other hand, professionals with Python skills are paid an average of AED 151,387 per annum in the UAE.

Demand and Opportunities: Data Science is in high demand in the market since it offers a multitude of career options. The number of job postings for Data Scientists is projected to reach 137,630 by 2025, and Python programmers will have a distinct advantage over others. The US Bureau of Labor Statistics (BLS) estimates that demand for data professionals will grow by 31% from 2019 to 2029.

COURSE OUTLINE:

Python Programming fundamentals

• Programming Basics
• Python Data Types
• Structures and conditional statements
• Python core packages
• Introduction to Jupyter Notebook

Data Science Essentials

• Data Science Introduction
• Data Science workflow
• Machine Learning Overview

Data Mugging with Numpys and Pandas

• Introduction to Numpy and Pandas
• Data filtering and selecting
• Find duplicates and treating missing values
• Concatenate and transform data

Basic Statistics

• Basic Statistics and Exploratory Analysis
• Descriptive summary statistics with Numpy
• Summarize continuous and categorical data
• Outlier analysis

Visualization web scrapping

• Creating basic charts
• Statistical Charts
• Web Scraping tools

Introducing Machine Language

• Overview of Supervised and Unsupervised Machine Learning
• Linear Regression
• Clustering with K – means
• Naive Bayes Classification
• Introduction to Neural Networks

KEY TAKEAWAYS:

Successful completion of the Python for Data Science course will enable a candidate to:

• Gain in-depth knowledge of Python programming
• Build simple Python scripts for Data Science projects
• Implement high–level mathematical computations using NumPy’s libraries of mathematical functions
• Utilize data structures and software tools to analyze and manipulate data
• Comprehend supervised and unsupervised Machine Learning models
• Create a Graphical User Interface (GUI) for a program

ACCREDITATION:

Our Python for Data Science course is accredited by ISO 9001: 2015 and the Knowledge and Human Development Authority (KHDA).

ALUMNI: Our academy graduates are successfully placed in some of the top-notch companies in Dubai like Jumeirah, Aramex, Airarabia, Damac, Emaar, etc. They are entrepreneurs, career changers, and lifelong learners.

WHY LEARNER’S POINT:

As one of the premier providers of the Python for Data Science course, we have in-depth knowledge and substantial experience in the field.
The following are the key benefits offered by our Python for Data Science course:

• Our Python for Data Science course is designed based on real-world scenarios, formulating and evaluating practical requirements
• Our courses strive to provide a reality check and insight into the requirements of a challenging role and how to fulfill it
• We also provide live interactive sessions and hands-on experience through assignments associated with the actual work environment
• To enhance the learning experience of our students we provide organized group sessions and integrated training modules
• Our discrete approach to career guidance enables our students to get successfully placed in renowned organizations

Updated on 22 August, 2024