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Data Science with Python

Want to get into the world of Data Science and gain in demand skills in Python programming? This Data Science with Python short course provides you with a foundational overview of Python’s data analytics tools and techniques.

With our blended learning approach delivered through a world class designed program, gain practical experience in concepts such as data wrangling, mathematical computing, and more. Transform your career as a data scientist and learn from industry experts in this course.


Course delivered by Simplilearn.
Free course guide
Includes full course details
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Delivery Mode
Live virtual classes + self paced learning, including interactive learning with Jupyter notebook labs
An Industry Standard Hands on Approach
Showcase your data science expertise to employers with 4 industry-based projects
Mentorship Programs
Dedicated mentoring sessions from industry led experts and student support teams
Lifetime Access
Study at your own pace anytime, anywhere and get instant lifetime access

Course Summary

1-3 months
Access For
Lifetime access to self-paced learning
12 Lessons
$915 incl. GST

Deep dive into this Data Science with Python short course, covering the fundamentals in Python over 12 courses. Each course gives an in-depth insight into the data concepts and their application. After each course, you will apply your skills in knowledge checks, quizzes, assignments and industry-related projects. You may find summarised details on the course content for this short course below.

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 

Course Structure

Data Science with Python

Course overview

The course overview provides the context of data science and sets your learning program of in this short course. You will dive into accessing the applications and software you will need throughout the duration of your course.

  • Lesson 1 - Data Science Overview

    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.

  • Lesson 2 - Data Analytics Overview

    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.

  • Lesson 3 - Statistical Analysis and Business Applications

    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.

  • Lesson 4 - Python Environment Setup and Essentials

    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.

  • Lesson 5 - Mathematical computing with Python (NumPy)

    Get hands-on with this course where you will be introduced to Numpy, activity sequences, learn basic operations and demonstrate mathematical functions with NumPy.

  • Lesson 6 - Scientific Computing with Python (SciPy)

    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.

  • Lesson 7 - Data Manipulation with Pandas

    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.

  • Lesson 8 - Machine Learning with Skikit - Learn

    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.

  • Lesson 9 - Natural Language Processing with Skikit Learn

    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.

  • Lesson 10 - Data Visualization in Python using Matplotlib

    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.

  • Lesson 11 - Web Scraping with BeautifulSoup

    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.

  • Lesson 12 - Python integration with software such as Hadoop MapReduce and Spark

    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.

  • Practice Project - IBM HR Analytics Employee Attrition Modeling

    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.

Completion Certificate

Who is this course for?

Why should I learn Python for Data Science?

Python is a programming language that is continuously growing in high demand in data science. Python can be used for various applications such as performing data analysis, data manipulation, and data visualization. As a high-level language, Python is an ideal language for emphasis on readability and scalability, hence making it the go-to language for data scientists or for those who do not have an engineering background.

What is the job outlook for Data Science with Python programming professionals?

Harvard Business Review has named Data Scientist as the ‘Sexiest Job of the 21st Century.’ This is also reflected in LinkedIn Emerging Jobs Report 2021 in which data science specialists are one of the top emerging jobs with Python as one of its key skills. The job outlook is promising with an annual growth of 35 percent for data scientists and data engineers.

Do I need coding experience to learn Python?

Any knowledge or familiarity in other object-oriented programming can be easier for you to learn Python, however it is not mandatory to have coding experience.


The demand for data science with Python programming professionals is continuously increasing, making this course well-suited for participants at all levels of experience. This Data Science with Python course is beneficial for analytics professionals willing to work with Python, Software, and IT professionals interested in the field of analytics, and anyone with a genuine interest in data science.


To make the most of your understanding in the Python Data Science course, it is recommended that you begin with the following courses: Introduction to Data Science in Python, Math Refresher, Data Science in Real Life, and Statistics Essentials for Data Science. These courses are offered as free companions with this training.

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

Help Amazon, a US-based e-commerce company, improve its recommendation engine by predicting ratings for the non-rated products and adding them to recommendations accordingly.

Forecast Accurate Sales for Walmart

Predict accurate sales for 45 Walmart stores, considering the impact of promotional markdown events. Check if macroeconomic factors have an impact on sales

Improve the Customer Experience for Comcast

Provide Comcast, a US-based global telecom company, key recommendations to improve customer experience by identifying and improving problem areas that lower customer satisfaction.

Service Request Analysis for NYC 311

Perform a service request data analysis of New York City 3-1-1 calls. Focus on data wrangling techniques to understand patterns in the data and visualize the major complaint types.

Career outcomes

Data Analyst

A data analyst collects, cleans, and interprets data sets in order to answer a question or solve a problem. They work in many industries, including business, finance, criminal justice, science, medicine, and government.

$95k AUD
Information Technology
Data Scientist

Data scientists examine which questions need answering and where to find the related data. They source, manage, analyse, clean, present and visualise large amounts of unstructured data to make business decisions. 

$125k AUD
Information Technology
Business Analyst

Business analysts champion businesses to change and succeed by optimising business processes by examining, reviewing and improving the operations of a company or organisation.

$115k AUD
Information Technology

Data Science with Python course advisor

Ronald van Loon
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.

Please note: Course Advisor can be subject to change

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.


What is the difference between a Short Course and an Online Bootcamp?

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.


Is it difficult to receive a certificate in Python programming?

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.


Do I need to have a related programming background to qualify for a Python certification?

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


How much do Python programmers make?

On average, professionals in data science with Python background earn an annual salary of $140,000 AUD


What is the job outlook for certified Python programmers?

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.


What is Data Science?

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.


How is data science with python relevant today?

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 demonstratable, and bootcamps are an appraised path to achieve this practical experience.


Will I earn a certificate?

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.


How do I enrol in the Data Science with Python short course?

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.


What kind of jobs can I pursue upon completing the short course?

There are various roles a Data Science with Python student can work in upon completion of the short course. This includes Python Developer, Data Analyst, Business Analyst, Data Architects, Data Engineers and Machine Learning Engineers.


How do I become a data science expert?

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.


What skills should a data science expert know?

A data science expert should have the following skills:

  • Knowledge of programming languages like Python, R, and SQL
  • Profound knowledge of statistics and related concepts
  • Machine learning algorithms for handling big sets of data
  • Knowledge of calculus & linear algebra
  • Data wrangling to refine data
  • Knowledge of data visualization tools for to communicate information in trends and predications in data

Looking to develop these skills? These relevant technical skills can be learned through the Data Science with Python short course helping you gain all the skills mentioned above and kickstart you career in data science.


Is data science a good career option?

Yes, data science is a definitely a good career option with incredible opportunities for advancement in the future.

Currently, demand for data scientists with Python experience is extremely high with competitve salaries and benefits. Data scientists are in demand in Australia and worldwide.

With big data emerging across industries, the market size of data science has been projected to reach $178 billion by the end of 2025. As highlighted by the US Bureau of Labour Statistics (BLS), job roles requiring data science-related skills will likely surge by 2026.

As a data scientist you will have the opportunity to drive future decisions of various industries by using your unique skills in data science, portraying you as a leader in your field.


What are the different Python certifications and which one is the best?

There are various industry standard Python certifications such as:

  • PCEP – Certified Entry-Level Python Programmer
  • PCAP – Certified Associate in Python Programming
  • PCPP-32-1 – Certified Professional in Python Programming 1
  • PCPP-32-2 – Certified Professional in Python Programming 2
  • CEPP – Certified Expert in Python Programming

Each Python certification examines your Python knowledge and practical experience. Different Python certifications are designed to meet different levels of Python experience and needs. To determine which Python certification is best, you will need to go for a Python certification course that is aligned with your experience level and career needs.


Get a free consultation & kickstart your career

We're always here to help you succeed. Get a free education consultation with one of our Upskilled Education Consultants about this course or simply find out what's best for you.

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85% of Simplilearn students report career benefits such as landing the next promotion or getting a new job

5 star

Fantastic support all the way through, Michelle was always willing to answer any questions I had no matter how trivial they were and was always very knowledgeable about the course and the assessments within. The Upskilled staff were also incredible with their support, allowing me to extend my course when I needed.


5 star

Great experiencing signing up to my course. Staff I dealt with were incredibly nice and thoughtful, enthusiastically helped me signed up in no time and made me feel confident in starting this journey. Would recommened anyone to sign up with Upskilled, amazing all round.


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