Professional Certificate in Business Analytics with Python and R

Wednesday, 05 February 2025 01:47:58

International applicants and their qualifications are accepted

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Overview

Overview

Our Professional Certificate in Business Analytics with Python and R is designed to equip learners with the essential knowledge and skills needed for success in today's dynamic digital landscape. This comprehensive course provides flexibility and accessibility for students worldwide, allowing them to master key concepts in business analytics using popular programming languages like Python and R.

With a focus on practical applications and real-world scenarios, students will develop a deep understanding of data analysis, visualization, and predictive modeling. By the end of the course, learners will be well-prepared to tackle complex business challenges and make data-driven decisions with confidence.

Unlock the power of data with our Professional Certificate in Business Analytics with Python and R. Dive into the world of data analysis and visualization using two of the most popular programming languages in the industry. Learn how to manipulate and analyze data, create stunning visualizations, and make data-driven decisions that drive business success. Our hands-on approach will equip you with the skills needed to excel in today's data-driven world. Whether you're a beginner or looking to enhance your skills, this course is perfect for anyone wanting to harness the power of Python and R for business analytics.

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

• Introduction to Business Analytics • Python Programming for Data Analysis • R Programming for Data Science • Data Visualization with Python • Statistical Analysis with R • Machine Learning with Python • Predictive Analytics with R • Big Data Analytics • Time Series Analysis • Capstone Project in Business Analytics

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

40% Cheaper

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

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+44 75 2064 7455

admissions@LSIB.co.uk

+44 (0) 20 3608 0144



Career path

Business Analyst
Data Analyst
Financial Analyst
Marketing Analyst
Operations Analyst
Business Intelligence Analyst

Key facts about Professional Certificate in Business Analytics with Python and R

- Gain proficiency in Python programming for business analytics
- Learn to analyze data using Python libraries such as Pandas and NumPy
- Develop skills in data visualization with Matplotlib and Seaborn
- Understand machine learning concepts and algorithms for predictive analytics
- Acquire knowledge in data manipulation, cleaning, and preprocessing
- Apply statistical techniques for business decision-making
- Explore real-world case studies and projects for hands-on experience
- Industry-relevant curriculum designed for business professionals
- Enhance employability with in-demand skills in data analytics and Python
- Flexible online learning format for working professionals
- Access to expert instructors and personalized feedback on projects
- Join a global community of learners for networking and collaboration.

Why this course?

Industry Demand Relevance
The UK business analytics market is projected to reach £3.2 billion by 2025, with a CAGR of 10.3%. Python and R are the most popular programming languages for data analysis, with 66% of data scientists using Python and 47% using R.
Companies are increasingly relying on data-driven insights to make strategic decisions, creating a high demand for professionals with business analytics skills. Proficiency in Python and R allows professionals to manipulate and analyze data effectively, providing valuable insights for businesses.

By obtaining a Professional Certificate in Business Analytics with Python and R, individuals can position themselves as highly sought-after candidates in the competitive job market and contribute significantly to the success of organizations in the rapidly evolving data-driven economy.

Who should enrol in Professional Certificate in Business Analytics with Python and R?

This course is designed for professionals looking to enhance their skills in business analytics using Python and R. Whether you are a data analyst, business intelligence professional, or aspiring data scientist, this course will provide you with the tools and knowledge needed to excel in the field.

Over 80% of UK businesses believe that data analytics is crucial for their success.
Professionals with skills in Python and R earn on average 20% more than their counterparts.
The demand for data scientists in the UK has grown by 231% in the past 5 years.

By enrolling in this course, you will gain a competitive edge in the job market and be equipped to tackle complex data analysis projects with confidence.