About Course
Data science is the present and the future, and it is better to be on the cutting-edge than left behind. Python is one of the prominent tools used in the field of Data Science, and proficiency in Python programming is highly desired if you are seeking a job in the field. The course is designed to equip you with detailed knowledge about the programing language, starting from the fundamentals. Python provides a software environment for Data Science and Machine Learning. From this course, you will learn the basic and complex programming concepts in Python. Lessons on the use of Python in data analysis using NumPy and Pandas – python libraries for Data Science – are part of the course. You will also gain knowledge on Python’s role in data visualization, statistical computations and building models for machine learning.
Programming for Data Science using Python Training
OCTOBER 1ST - OCTOBER 15TH
VENUE: NCWS BUILDING BY FCDA AREA II ABUJA
TIME: 10:00 AM – 4:30 PM DAILY
What skills you will learn
GLODARIS ensures you gain functional knowledge in Python to start a career in Data Science. Through its elaborate curriculum, you will learn about the basic concepts and then get introduced to the complicated aspects of Python. After the course completion, you are sure to become highly skilled in Python programming and ready to take up a relevant job. Some outcomes of taking up the course are;
- Knowledge about data structures control structures, creating user-defined functions and lambda expressions in Python
- A comprehensive understanding of the use of NumPy to slice and dice multi-dimensional arrays
- Ability to manipulate and transform data using the Pandas library in Python
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Day 1: Basics of Python
- Introduction to Python
- Installation of Anaconda
- Getting Started with Python
- Data structures and Data types in Python
- Working with Data Types and Data Structures - Part 1
- Working with Data Types and Data Structures - Part 2
- Working with Programming Constructs in
- Creating UDF's in Python
- Lambda's and its applications
- Applications of lambda - map, reduce, filter
- Object, Methods and Classes
- Creating modules in Python
- Exception handling in Python
- Regular expressions in Python
- File operations in Python
- Understanding the need for NumPy package
- Creating arrays in NumPy
- NumPy Indexing and Slicing
- Array operations in NumPy
- Copies and Views
- Broadcasting
- Array shape Manipulation & Array sorting
- Understanding the pandas library
- Creating panda series and data frames
- Operations on series and data frames
You will be given an industry-wide recognized course completion certificate by GLODARIS
The course curriculum encompasses all the aspects of Python essential in Data Science.
The course is designed and developed by subject matter experts and experienced professionals in the field of Data Science.
Assignments and assessments ensure that the candidate gains acumen in all the concepts
Who Should Attend this course?
Candidates pursuing a career in the Data Science or Data Analytics domain
Engineering and non-engineering graduates aspiring for a career as a data scientist or data analyst
What skills you will learn
GLODARIS ensures you gain functional knowledge in Python to start a career in Data Science. Through its elaborate curriculum, you will learn about the basic concepts and then get introduced to the complicated aspects of Python. After the course completion, you are sure to become highly skilled in Python programming and ready to take up a relevant job. Some outcomes of taking up the course are;
Why Data Science?
Data scientist has become one of the key careers of the century. What’s more, according to the Harvard Business Review, it’s the sexiest job of the 21st century. Wired speaks directly to parents: “Tell your kids to be data scientists, not doctors.” As a data scientist, you help to gain insight into the vast amounts of data our society generates. Currently the huge shortage of data scientists is becoming a serious constraint in many sectors. Sectors like business, energy, government, healthcare, intelligence and security, and logistics are waiting for people like you. And, since the application areas for data science are very broad, you can work in a field that sparks your own personal interest. The choice to become a data scientist is a choice for job security. All jobs are changing because of data. In five years, it’s going to be very hard to become a manager, a radiologist or marketer without any knowledge of data science. In other words: your job prospects as a graduate are excellent, both in business and government.
