Data Analytics Using Python
Develop the fundamental Python programming knowledge and skills required to complete advanced analytics.
573 enrolments
Duration
Approx 12 weeks4 hrs per week
Data Analytics Using Python
573 enrolled on this ExpertTrack
Develop practical data analytics skills using Python
Do you want to get started with advanced analytics and learn how to leverage Python? As businesses increasingly rely on technology to carry out complex mathematical calculations, data professionals need strong quantitative skills and a high-level understanding of the models used and how they can be employed to solve challenges.
This ExpertTrack will help you to progress your career in data analytics using Python; a programming language that allows you to work quickly and integrate systems effectively.
Learn how to collect, manipulate, and organise data
In order to be valuable, the data produced by an organisation must be organised and structured in a way that can be analysed to draw conclusions.
You’ll learn the importance of collecting, organising and manipulating large amounts of data using databases and other technologies.
Explore the data applications of Python
This series of courses will teach you how to develop and utilise critical elements of Python, and demonstrate data ingestion using Python and various data types and sources.
By the end of this ExpertTrack, you’ll have a deeper understanding of working with data and analytics, and a foundational knowledge of Python.
Expand your career options in the data industry and beyond
The global big data industry is worth over $100 billion and is set to almost double by 2025, providing a huge number of lucrative and rewarding career options around the world.
But, data skills are in demand across almost every industry. According to PWC, finance, insurance, healthcare, manufacturing, professional services, and retail trade all have high demand for data-driven decision makers, functional analysts, data engineers, and data analysts.
Combining an understanding of data analysis with coding abilities is another way to stand out as a candidate and boost your long-term career prospects.
Industry statistics
Median base salary
£45,000UK job openings/month
1,724
Key skills you will learn
- Python
- Data Analytics
- Advanced data analytics
- Data wrangling
- Descriptive statistics
- Fundamental statistics
Learning outcomes
By the end of the ExpertTrack, you’ll be able to...
- Compare data analytics and advanced data analytics
- Develop and utilise critical elements of programming language, Python
- Build and apply practical skill sets to complete data exploration and visualisation
- Demonstrate data ingestion using Python and various data types and data sources
- Demonstrate various data processing activities using data query language and data manipulation language.
Experience required
There are no prerequisites to enrol on this data analytics course, but it’s recommended that you have some prior knowledge or experience working with data statistics, using spreadsheets.
During the ExpertTrack we’ll be using Jupyter notebook. We recommend you use a computer to access these elements.
Getting started
On this ExpertTrack, you’ll become familiar with analytics techniques and the best-practice use cases of each, while developing fundamental Python programming knowledge and skill. It’s suitable for:
- business analysts or junior data analysts looking to develop advanced data analytics skills and programming capabilities to advance in data analytics
- individuals with existing programming capabilities looking to enter the data analytics field
- those lacking the programming capabilities to conduct more advanced data analysis and modelling.
ExpertTrack course overview
Course 1
Data Analytics and Python Fundamentals
Learn the fundamentals of statistics and data analysis using Python
1 test
4 weeks
4 hours per week
Week 1
Getting to know advanced analytics
- Welcome to the course
- Opportunities in data anlytics
- Leveraging advanced data analytics for business
- Wrap-up
Week 2
Introduction to Python
- Introduction to Python setup
- Python overview and development environmental setup
- Wrap-up
Week 3
Python variables, data types
- Introduction to Python variables and data types
- Data types and variables in Python
- Control flow expressions and loops in Python
- Wrap-up
Week 4
Python data structures
- Introduction to Python data structures
- Data structures in Python
- Functions in Python
- Wrap-up
Course 2
Python Packages: NumPy and Pandas Dataframe
Expand your advanced analytics skills using Python - you can explore data ingestion with CRISP-DM methodology.
1 test
4 weeks
4 hours per week
Week 1
Python packages: NumPy
- Welcome to the course
- Python Modules and Packages
- Getting started with NumPy and Arrays
- Wrap-up
Week 2
NumPy: Essential operations and functions
- Introduction to operations and functions in NumPy
- Operations and functions in NumPy
- Wrap-up
Week 3
Python package: Pandas
- Introduction to Pandas
- Getting Started with Pandas
- Data structures in Pandas
- Wrap-up
Week 4
Pandas: Essential operations and functions
- Introduction to operations and functions in Pandas
- Operations and functions with Pandas DataFrames
- Wrap-up
Course 3
Data Wrangling and Ingestion using Python
Enhance your understanding of Python by diving deeper into functions including data wrangling, manipulation and transformation.
1 test
4 weeks
4 hours per week
Week 1
Data ingestion using Python I
- Welcome to the course
- Introduction to data ingestion using Python
- Reading data: Text and csv formats
- Missing data: Text and csv formats
- Wrap-up
Week 2
Data ingestion using Python II
- Introduction to advanced data ingestion using Python
- Reading data: JSON, HTML, XML, and SQL
- Wrap-up
Week 3
Data wrangling using Python I
- Introduction to data wrangling using Python
- What is Data Wrangling?
- Data wrangling: concat ()
- Data wrangling: merge ()
- Manipulating and transforming data in Python
- Wrap-up
Week 4
Data wrangling using Python II
- Introduction to advanced data wrangling using Python
- Data Wrangling: GroupBy mechanics
- Wrap-up
Prove you're job ready
Highlight the new, job-relevant skills you’ve gained and supplement existing qualifications with a hard-earned, industry-specific digital certificate – plus one for every course within your ExpertTrack.
- Learn the latest in your chosen industry or subject.
- Complete each course and pass assessments.
- Receive certificates validated by the educating organisation.
- Impress employers with learning outcomes you can add to your CV.
- Make your career dreams a reality.
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How ExpertTracks work
Join an ExpertTrack to master new skills in your chosen specialist area. Work through a series of topic-focused courses at your own pace, and pass the final assessment to earn a digital certificate award which proves your expertise.
Decide if the ExpertTrack is right for you with free access to the full suite of courses and assessments for a week.
Pay a monthly subscription fee of $39 for as long as it takes you to complete the ExpertTrack. You can learn at your own pace and cancel at any time.
Receive a certificate for every completed course and pass the final assessment to earn a digital certificate.
Use your specialist training to progress further in your career or build expertise in areas you’re passionate about.
Meet your instructor
I truly believe that leveraging the correct technologies in the appropriate way can take us towards a more sustainable economy. My focus is on converging M&E Engineering with Data Science/Analysis.
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ExpertTracks are a series of online courses designed to help you master new skills in specialist areas. You pay a monthly subscription fee which includes access to all courses within the ExpertTrack, as well as assessments and the final digital certificate.
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