Pandas Courses
Pandas Courses
July 13, 2024 No Comments on Pandas CoursesGet Internationally Accredited & Recognized
Questions to ask yourself about the Pandas Courses.
Is Python in demand?
– Yes very HIGHLY. There’s a real demand for data analysts in the workplace. Thus creating a massive demand for our Python and pandas courses. The top 3 jobs in South Africa today is Machine Learning. Data Science and Python is among the most in-demand programming languages on the job market, depending on whose numbers you look at.
Is what I learn relevant and of value?
– Most definitely and it’s current, up to date IDE’s and tools. Furthermore you learn from experienced developers/lecturers and strong machine learning content.
Can I get a job as a python developer or data analysts after?
– Definitely yes, get a job easier by getting Internationally accredited and recognized by writing your Microsoft exam/s:
All in all pandas (software) In computer programming, pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. At School of it we offer:
- An intro python/pandas course (for the fundamentals),
- An advanced python course (more intermediate and advanced python).
- A full stack web development course with python or R.
- A Software Development course in python (which includes intro, intermediate and advanced python concepts).
- Software Engineering course in python and 1 other programming language (which includes intro, intermediate and advanced of the 2 programming languages).
- A Data Science course which makes use of python and pandas.
Part-Time
Fast forward your career in the IT industry with a part-time pandas courses at School of IT. All in all the Part-time courses allow working professionals to transition into a new skill set while working. In turn at School of IT we are agile and can customize a python course to the individual. Start anytime and choose your hours!
Full Time
Are you ready to start a career in IT? In turn learn to code in R as a full time student at School of IT. Thus beginning your career as a data analyst or data scientist. Start anytime and manage your own contact hours with your mentor!
High School
In addition prepare for the future by learn to code in R while you’re still in high school. Have the option to get internationally accredited and recognized before you even finish school!
Corporate
All in all upskill yourself or your company by learning to code while you’re working. Thus no matter where you are, you can upskill yourself and get internationally accredited and recognized in under 6 months!
Overall by the end of the intro Pandas course students will have usable knowledge of the following:
-
- Understand OOP – Object Orientated Programming
Learn Pandas, the python librarie.
- Using pandas for data manipulation.
- Be able to understand classes coupled with Objects.
- Get understanding of datatypes together with operators.
- Thoroughly Understand variable declaration including initialization.
- Methods, functions coupled with sequential code.
- Decision making: If statements not to mention switch cases.
- Loops, namely a do while, for loop and while loop.
- With attention to commenting, refracting code and naming standards.
- Have an understanding of IDE’s (PyCharm).
- Including a basic understanding of databases.
By the end of the Full Stack course students will have usable knowledge of the following:
- Understand the Fundamentals of web design
- Be able to understand classes coupled with Objects.
- Understand of datatypes together with operators.
- Understand variable declaration including initialization.
- Learn Methods, functions coupled with sequential code.
- Decision making: If statements not to mention switch cases.
- Learn about Loops, namely a do while, for loop and while loop.
- How to use Django and Pandas Fundamentals.
- Create Websites using Django Framework and best development principals & standards
- IDE’s, applets coupled with publishing applications.
- Including HTML, CSS, JavaScript and Web Services.
By the end of the Data Science course students will have usable knowledge of the following:
- Apply statistical methods to data
- Be able to understand TensorFlow to explore and transform data.
- Create,validate machine learning models with Azure Machine Learning.
- Thoroughly Understand R and RStudio to code to build machine learning models.
- Apply data science techniques to common scenarios.
- Implement a machine learning solution for a given data problem.
- Learn advanced Pandas and Data Analysis to implement computer science algorithms.
- Implement a BioInformatics and natural language processing.
- Junior Programmer.
- Data Analysts.
- Full Stack Web Developer.
- Data Scientist.
- Software Developer.
- Software Engineer.
- App Developer.
- Systems Architect.