Certificate in Python for Data Analysis

Tuesday, 10 February 2026 22:43:07

International applicants and their qualifications are accepted

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Overview

Overview

Python for Data Analysis


Learn to extract insights from data using Python, a powerful and versatile programming language.


Data analysis is a crucial skill in today's data-driven world, and Python is the perfect tool to master it. This certificate program is designed for individuals who want to gain hands-on experience in data analysis using Python.

With this certificate, you'll learn how to work with popular libraries like Pandas and NumPy, and how to visualize data using Matplotlib and Seaborn.


Whether you're a beginner or looking to upgrade your skills, this program is ideal for anyone interested in data science, business intelligence, or scientific computing.


Take the first step towards a career in data analysis and explore the world of Python today!

Python is the backbone of data analysis, and this Certificate course will teach you to harness its power. Learn to extract insights from complex data sets, create visualizations, and build predictive models. With Python, you'll gain a competitive edge in the job market, with career prospects in data science, business intelligence, and more. Unique features of this course include hands-on projects, expert guidance, and access to a community of like-minded learners. By the end of this course, you'll be able to Python like a pro, making you an attractive candidate for top companies. Unlock your potential with Python for data analysis.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Pandas Data Structures
• NumPy Fundamentals
• Data Cleaning and Preprocessing
• Data Visualization with Matplotlib
• Data Visualization with Seaborn
• Introduction to Machine Learning
• Supervised Learning Algorithms
• Unsupervised Learning Algorithms
• Data Wrangling with SQL
• Data Analysis with Pandas and NumPy

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:

1 month (Fast-track mode): £140
2 months (Standard mode): £90

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Certificate in Python for Data Analysis

The Certificate in Python for Data Analysis is a popular online course that teaches individuals the skills needed to work with data using Python, a widely-used programming language in the field of data science.
This course covers the basics of Python programming, including data types, functions, and control structures, as well as data analysis techniques such as data cleaning, visualization, and machine learning.
Upon completion of the course, students will have gained the skills and knowledge needed to extract insights from data and communicate findings effectively, making them highly sought after in the industry.
The duration of the course is typically 4-6 months, with students working on projects and assignments throughout the program to apply their new skills.
The industry relevance of this course is high, with many companies using Python for data analysis and machine learning, making it an excellent choice for those looking to break into the field.
The skills learned in this course are highly transferable, with many graduates going on to work in data analysis, business intelligence, and data science roles.
The course is also highly relevant to the field of data science, which is a rapidly growing field with many job opportunities available.
Overall, the Certificate in Python for Data Analysis is an excellent choice for anyone looking to gain the skills and knowledge needed to work with data using Python, and is highly relevant to the industry.

Why this course?

Python for Data Analysis has become a highly sought-after skill in today's market, with the UK job market seeing a significant increase in demand for data analysts and scientists. According to a report by the UK's Office for National Statistics, the number of data scientists in the UK has grown by 45% since 2019, with an estimated 10,000 new jobs created annually.
Year Number of Jobs
2019 5,500
2020 7,800
2021 10,200

Who should enrol in Certificate in Python for Data Analysis ?

Primary Keyword: Data Analysts Ideal Audience
Professionals with a strong foundation in statistics and mathematics, particularly those in the UK, are well-suited for this course. Key Characteristics:
- Age: 25-45 years old - Education: Bachelor's degree in a quantitative field, such as mathematics, statistics, or computer science
- Experience: At least 2 years of experience in data analysis, business intelligence, or a related field - Location: Primarily based in the UK, with opportunities for remote work
- Salary: £35,000-£60,000 per annum, depending on experience and location - Career Goals: Seeking to advance their career in data analysis, business intelligence, or a related field