Fundamentals of Python Programming [Python for Data Analytics]

About This Course

INTRODUCTION

As one of the world’s top programming languages, Python is growing in popularity year-after-year. Python is not only easy to use, but also incredibly versatile and productive. In turn, programmers who are proficient with Python are highly desirable within leading businesses throughout Singapore and beyond.

At Laure’s Academy, we fully recognize the importance of Python, specifically in a data analysis role. That is why we developed our course, Fundamentals of Python Programming [Python for Data Analytics].

Our course uses a ground-up approach to learning, teaching beginner-friendly lessons that require no previous Python experience.

Developed by leading programmers and data science professionals, this course teaches actionable lessons including:

• Aligning code to organizational and business requirements

• Using data visualization within Python

• Transforming raw values from data sets into useful information

• And much more

OVERVIEW

Python for Data Analytics introduces you to Python as the go-to tool for data analysis. This course takes you from fundamental to advanced topics in Python that is required by a data analyst to explore hidden insights from the data. This program is designed for learners who have little or no knowledge in any programing language.

COURSE OBJECTIVES

Python – Open source, highly flexible language comes with large number of libraries and easy-to-learn. Python for Data Science course prepares you with Python Programming capabilities for Data Manipulation, Exploratory Data Analysis and Data Visualization which are an absolute must for being a Data Analytics expert.

LEARNING OUTCOMES

Understanding why Python as a tool for data analytics
Understand Python distribution & installation
Understand variables, data types and data type conversion
Learn conditional statements, nested conditional statements
Learn different kind of loops
Understand object-oriented programming system (OOPS) concepts & design
Learn how to write user defined and lambda functions
Learn about strings & string manipulations
Learn about other data structures like lists, tuples, dictionaries & sets
Learn about various methods of lists, tuples, dictionaries & sets
Understand connections to other database softwares like MySQL
Learn about NumPy arrays and array methods
Learn about Pandas series object
Learn about Pandas dataframe object
Learn advanced Pandas dataframe manipulations
Learn data visualization using Matplotlib & Seaborn
Financial case study: Exploratory data analysis on financial data using Pandas dataframe and data visualization

Who Should Attend
Anyone who is keen to learn the fundamentals of data science programming
Aspiring Data Science Professionals
No prior experience or background in coding is required