Certificate Programme in EV Charging Data Analytics

Monday, 09 February 2026 18:29:55

International applicants and their qualifications are accepted

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Overview

Overview

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EV Charging Data Analytics: This certificate program equips you with the skills to analyze large datasets from electric vehicle charging networks.


Learn to interpret charging patterns, optimize infrastructure, and improve grid management using advanced analytical techniques.


Designed for professionals in energy, transportation, and data science, this program uses real-world case studies. You'll master data visualization and predictive modeling relevant to the EV charging industry.


Gain a competitive edge in the rapidly growing field of EV charging infrastructure. EV Charging Data Analytics is your gateway to a successful career. Explore the program today!

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EV Charging Data Analytics: Master the burgeoning field of electric vehicle infrastructure with our intensive Certificate Programme. Gain hands-on experience analyzing charging station data, using cutting-edge tools and techniques in data visualization and predictive modeling. This program equips you with in-demand skills for a rewarding career in energy management, smart grids, and data science. Develop expertise in charging infrastructure analysis, boosting your job prospects in a rapidly growing sector. Enroll now and become a future leader in EV 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

• Introduction to EV Charging Infrastructure and its Data Landscape
• Data Acquisition and Preprocessing Techniques for EV Charging Stations
• EV Charging Data Analysis using Python and R (includes Pandas, NumPy, SQL)
• Data Visualization and Storytelling for EV Charging Insights
• Predictive Modeling for EV Charging Demand Forecasting
• Spatial Analysis of EV Charging Networks using GIS
• Business Intelligence and Reporting for EV Charging Operators
• Case Studies in EV Charging Data Analytics and Optimization
• Ethical Considerations and Data Privacy in EV Charging 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

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

EV Charging Data Analyst Career Outlook: UK

Career Role Description
Senior EV Charging Data Analyst Lead data analysis projects, build predictive models, and mentor junior analysts. Expertise in big data technologies and EV charging infrastructure is crucial.
EV Charging Data Scientist Develop advanced algorithms for forecasting charging demand, optimizing grid integration, and improving charging network efficiency. Strong programming and statistical modeling skills are essential.
EV Infrastructure Data Engineer Design, build and maintain the data pipelines for large-scale EV charging networks. Expertise in cloud computing and data warehousing is paramount.
Junior EV Charging Data Analyst Assist senior analysts with data cleaning, analysis, and reporting. Develop core data analysis skills in a real-world environment.

Key facts about Certificate Programme in EV Charging Data Analytics

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This Certificate Programme in EV Charging Data Analytics equips participants with the skills to analyze large datasets related to electric vehicle charging infrastructure. The program focuses on practical application, enabling graduates to contribute immediately to the growing EV sector.


Learning outcomes include mastering data visualization techniques, performing statistical analysis on charging patterns, and developing predictive models for optimizing charging infrastructure deployment and management. Participants will gain proficiency in using relevant software and tools for EV charging data analytics, including popular data analysis platforms and programming languages often used in energy analytics and smart grid management.


The programme's duration is typically 12 weeks, delivered through a blend of online modules and interactive workshops. This flexible format accommodates the schedules of working professionals seeking to upskill in this emerging field of data science, while the intensity ensures a comprehensive learning experience. The curriculum is regularly updated to reflect advancements in EV technology and data analytics best practices.


The EV charging industry is experiencing rapid expansion globally, creating a high demand for professionals skilled in data analysis. This certificate provides a direct pathway into this lucrative and impactful sector. Graduates will be well-prepared for roles such as data analysts, infrastructure planners, or charging network optimization specialists, contributing to the sustainable energy transition and the widespread adoption of electric vehicles. This makes it a highly relevant and valuable qualification within the renewable energy and smart city development sectors.


Upon successful completion, participants receive a recognized certificate, demonstrating their expertise in EV charging data analytics and enhancing their career prospects within the burgeoning electric vehicle ecosystem. The program offers excellent return on investment, quickly enhancing earning potential and providing access to high-demand jobs in a future-oriented industry.

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Why this course?

A Certificate Programme in EV Charging Data Analytics is increasingly significant in the UK's rapidly expanding electric vehicle (EV) sector. The UK government aims for all new car sales to be zero-emission by 2030, fueling substantial growth in the EV charging infrastructure. This necessitates professionals skilled in EV charging data analytics to optimize charging networks, predict energy demand, and improve grid stability. Data analytics is crucial for managing the complex interplay between charging stations, energy suppliers, and EV users.

The UK currently has over 30,000 public EV charging points, a number projected to increase exponentially in the coming years. Efficient management of this expanding network requires professionals who can analyze charging data to identify bottlenecks, optimize charging speeds, and improve the overall user experience. Analyzing charging patterns and energy consumption helps inform strategic investment decisions and improve the operational efficiency of charging infrastructure providers.

Year Charging Points (thousands)
2022 30
2023 45
2024 65

Who should enrol in Certificate Programme in EV Charging Data Analytics?

Ideal Audience for EV Charging Data Analytics Certificate Programme Description
Energy Professionals With the UK aiming for 300,000 public charge points by 2030, professionals in energy management, grid operations, and utilities stand to benefit greatly from advanced data analytics skills in the rapidly growing electric vehicle (EV) sector. Understanding and interpreting charging data is crucial for efficient grid management and network planning.
Data Analysts & Scientists Expand your expertise into the high-demand field of sustainable energy. This programme equips data analysts and scientists with the specific skills needed to analyze large datasets from EV charging stations, providing valuable insights for network optimization and business decision-making. This aligns with the UK's push for smart charging solutions.
EV Infrastructure Developers & Operators Gain a competitive edge by mastering data analytics techniques relevant to EV charging infrastructure. This allows for informed investment decisions, performance monitoring and optimization, and predictive maintenance of charging stations, contributing to the UK's increasing EV infrastructure needs.
Policy Makers & Researchers Inform policy and drive research in the UK's transitioning energy landscape. Learn to effectively analyze charging data to support informed decision-making on policies related to EV adoption, grid infrastructure development and smart charging strategies.