Data Science with Python
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Course Overview
Want to enter the world of Data Science and master Python programming? This Data Science with Python short course offers a foundational overview of Python's data analytics tools and techniques. Through a blended learning approach, you'll gain practical experience in data wrangling, mathematical computing, and more, learning from industry experts. Covering 12 in-depth courses, you'll apply your skills through knowledge checks, quizzes, assignments, and industry-related projects, transforming your career as a data scientist
What you will learn
By the end of this short course you will accomplish the following:
- Gain practical experience in Python programming
- Proficiently work with high-level technologies such as machine learning and NLP
- Build strong working experience in working with data including data wrangling, data exploration, data visualisation
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Course Modules
You will dive into accessing the applications and software you will need throughout the duration of your course.
In the first course, you will be introduced to what data science is, its purpose and how different industries use data science. You will learn the purpose and components of the programming language Python and its application in data science.
Explore data elements in this course as you delve into the deep data analytics process of exploratory data analysis (EDA). Learn how to make data analytics conclusions, predictions and analyse data types for plotting purposes.
Learn all things statistical in this course as you will be introduced to analysing statistics from various angles such as statistical and non-statistical analysis, and the data distribution process.
Set a solid understanding of Python foundations in this course as you work through various data types with Python and work with basic operators and functions.
Get hands-on with this course where you will be introduced to Numpy, activity sequences, learn basic operations and demonstrate mathematical functions with NumPy.
This course provides an introduction and optimisation to SciPy. This is your opportunity to apply your problem-solving skills to solve linear algebra problems using SciPy.
Learn how to master data manipulation using Pandas, understand the application of DataFrame, the Pandas SQL operation, and apply your knowledge to analysing data sets.
Look at datasets, and understand and extract data features in terms of Machine Learning across six steps. You will get a glimpse into the world of a data analyst as you train, test and optimise data models. You will also work on real world related assignments such as analysing ad budgets for various media channels and building data models in healthcare to predict diabetes.
You will be taken through Natural Language Processing (NLP) using Skikit Learn. You will gain a thorough understanding of what Natural Language Processing is, where it is proved useful and its applications.
Learn the depths of data visualisation in Python using Matplotlib. Get hands-on by experimenting with types of plots and line properties and drawing pair plots using the data visualisation library, Seaborn library.
Learn the fundamentals of web scraping using Python programming. Understand how to parse data, navigate data trees and modification of data. Test your knowledge as you apply this skill through web scraping the Simplilearn website assignment.
In this final course, you'll understand why big data solutions are provided for Python. Gain fluency in Python as you integrate Python with software such as Hadoop and Spark. You will also have the opportunity to work on an assignment based on real-world scenarios such as displaying all the airports in New York using PySpark.
You will have the opportunity to participate in practice projects before deep-diving into the primary course projects. In this practice project, you will have the opportunity to work on building a data model with IBM data. IBM would like to identify the factors that influence why employees depart from job roles. You will achieve this by building a logistics regression model to help predict employee churn.
Payment Options
Course projects
To further bolster your Python programming in data science skills, you will get the chance to work on 4 practical course projects that mimic real world scenarios. This gives you the chance to apply your data science knowledge and problem solve in an industry related project. You will work on projects with leading industries and these are highlighted in detail below.
Predict Product Ratings for Amazon Products
Forecast Accurate Sales for Walmart
Improve the Customer Experience for Comcast
Service Request Analysis for NYC 311
Show off your achievements
Earn your Data Science with Python Short Course Certification
Digital certificates are the new way for Upskilled and Simplilearn graduates to offer proof of their hard earned knowledge or skill set.
You will receive individual certificates after each short course. Additionally, upon completion of the entire course, you will earn a certificate demonstrating your competence and expertise as a data science professional specialising in python.
Differentiate Yourself
Set yourself apart from the competition with the Data Science with Python Short Course. This is your ticket to get your foot through the door and proof that you have applied Python knowledge in data science and skills to real-world projects and labs making you job ready.
Share your achievement
You worked for it, you earned it! Share your achievement loud and proud! Talk about your Data Science with Python short course certification on LinkedIn, Twitter, Facebook. Add it to your CV to stand out and showcase to your employers.
Data Science with Python Course advisor
Ronald van Loon
Top 10 Big Data and Data Science Influencer, Director - Adversitement
Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events in IoT, Big Data and Data Science.
FAQs
An Online Bootcamp is an intensive and accelerated learning program made up of a collection of self-paced eLearning components and live online classes that students are required to attend.
The Online Bootcamp program curriculum contain a combination of specifically chosen courses and career-critical skills that are aligned to a job role.
A Short Course on the other hand are shorter courses that is designed to target developing a specific skillset or topic. They generally are much quicker to complete than Bootcamp Programs.
Attaining a certificate in Python programming can be challenging and appear difficult if you don't have the proper preparation in it. By preparing yourself with the necessary concepts, principles and concepts Python computing and apply your skills in hands-on projects, you can set yourself up to be an expert in Python programming.
Students come from a diverse range of backgrounds, from seasoned professionals to non-data or non-technical background, this data science with python course is open to everyone of any background. Students do not necessarily have a related programming background to qualify for this online python online course.
Examples of students who study the Data Science with Python short course have transitioned into data science from the following backgrounds:
- Software Engineering
- Finance
- User Experience
- Marketing & Sales
- Psychologist
- HR
- Design
- A new comer with no relevant or technical background
On average, professionals in data science with Python background earn an annual salary of $140,000 AUD
The job outlook for certified Python programmers is growing in demand at a consistent rate and will continue to rise in the next coming years. Because Python programming is considered a farily easy and scalable coding language, many large corporations and other growing organisations use Python as their primary coding language. Overall, the demand for professionals with a certificate in Python programming has greatly increase and a role in Python is considered highly valuable to a company.
Data science is a domain in the technology space that involves dealing with large volumes of data using modern technologies and tools. Data scientists are logic specialists and masters in information data, using tools to discover unique patterns in data, identify any hidden trends and derive valuable information to aid in better decision-making.
As organisations collect large amounts of data, they implement various data science concepts and algorithms to build predictive data models. If you're interested in the world of big data, the Data Scientist with Python short course can help you learn and apply all of these concepts from scratch.
Data scientists are high in demand and are ranked among the top fields in Linkedin's Job Reports for the last three years and running. According to the latest information, data scientist roles are growing annually at 37%.
As such, data science bootcamps are increasingly valued due to their emphasis on a hands-on focused and immersive approach. These days many organisations value skills that are job ready and demonstrable, and bootcamps are an appraised path to achieve this practical experience.
Yes, upon completing the course program and projects, you will gain a Data Scientist with Python certification as a demonstration of your applied practical skills and knowledge in Python, which you can showcase in your CV.
To enrol in this Data Science with Python short course, you'll need to first submit an enquiry form via our website. You'll need to provide the following details:
- Your Name
- Best Phone Number
- Email Address
Once you've submitted your online form, one of our education consultants will be in touch within 48 hours.
During the consultation, you'll be able to ask questions regarding payment options, learning content and what career outcomes you can pursue if you complete your studies.
To become a data science expert, all you require is prior experience in mathematics or statistics and knowledge of programming languages like Python, Java, C++, etc. Upskilled and Simplilearn helps you gain an in-depth understanding of the application of Python in the world of data science, its concepts, tools and methodologies.
Designed with a unique interactive environment, the Data Science with Python short course will help you gain fluency in Python so you can advance in your career in data science. Upon completion you will earn an industry-recognized certificate that will strongly demonstrate your new skills and on-the-job expertise as a master in Python programming in data science.