* Data Analytics Job Placement Course Doncaster
Showing 16 Data Analytics Job Placement Course Doncaster jobs in Doncaster
Data Analytics Job Placement Course (Doncaster)
Data Analyst Course Programme Job Guarantee Included. Complete online training designed to take you from zero experience to your first data analyst role. Study part‑time, build fundamental skills, and receive dedicated job placement support until you’re hired. Flexible financing options are available, with payment plans starting from as low as £142 per month.
The Programme: Complete this 10‑week online training with just 10‑15 hours per week of study time. You’ll learn industry‑standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions.
The Outcome: 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000–£38,000.
Who This Is For: The programme is beginner‑friendly, so no experience is needed. Career changers are welcome, and you can study at your own pace. This programme is available to UK‑based learners only. Limited spaces available. Apply now for the next cohort.
Data Analysis Starter Course (Doncaster)
Data Analyst Course Programme Job Guarantee Included. Complete online training designed to take you from zero experience to your first data analyst role. Flexible financing options available, with payment plans starting from as low as £142 per month. The programme is 10‑weeks long, 10‑15 hours per week. It covers Excel, SQL, Python, Power BI, BCS and CompTIA certifications, a professional portfolio, tutor support, and job placement assistance. 93% of graduates secure roles within 3 months; starting salaries £28,000–£38,000. Beginner‑friendly; no experience needed.
SQL Training in Data Analytics – Earn a Program Certificate from Purdue University Online & Simplilearn
Masterclasses delivered by Purdue University faculty. Offered by our client, a forward‑thinking financial services firm based in Sheffield, South Yorkshire, UK, this Advanced Apprenticeship program equips you to launch a career in data analytics. You will gain hands‑on experience in data collection, cleaning, analysis, visualization and interpretation, both on‑the‑job and through dedicated study. The apprenticeship leads to a recognised qualification and offers career progression opportunities within the company.
Program Highlights:
* Gain practical experience in data manipulation, analysis and reporting.
* Learn to utilize SQL, Python, R, Excel, and Power BI.
* Develop data‑visualisation skills.
* Understand database management and data warehousing concepts.
* Work on projects that impact business strategy.
* Receive mentorship from experienced data professionals.
* Undertake formal training leading to a Level 3 or Level 4 qualification in Data Analytics.
* Develop soft skills such as communication, teamwork and problem‑solving.
Who We Are Looking For:
* Individuals aged 16+ with a strong academic background (e.g., Level 2 or 3 qualifications in Maths, IT, or Science).
* A genuine interest in data and technology.
* Strong numerical and analytical aptitude.
* Excellent problem‑solving skills and attention to detail.
* Good communication and interpersonal skills.
* Ability to work independently and as part of a team.
* A proactive attitude and willingness to learn.
* Right to work in the UK.
* Prior coding experience or data‑related projects encouraged but not essential.
* Commitment to completing the full duration of the apprenticeship.
Graduate Data Scientist – Analytics & Insights
Our client is seeking enthusiastic and bright Graduate Data Scientists to join their expanding analytics team in Sheffield. Responsibilities include data collection, cleaning, preprocessing, developing predictive models, performing statistical analysis, and creating visualisations and reports. Ideal candidates have a strong quantitative background, passion for data and solid programming skills in Python or R. Requirements: bachelor’s or master’s in Computer Science, Statistics, Maths, or related field; familiarity with machine learning algorithms, data visualisation tools (Tableau, Power BI), and SQL; excellent problem‑solving and communication skills.
Responsibilities:
* Assist in the collection, cleaning and transformation of large datasets.
* Perform exploratory data analysis.
* Develop and implement machine learning models for prediction, classification, and clustering.
* Conduct statistical analysis to test hypotheses.
* Create compelling visualisations and dashboards.
* Collaborate with senior data scientists and stakeholders.
* Document methodologies, code and findings.
* Contribute to continuous improvement of analysis tools.
* Assist in A/B testing and experimental design.
* Stay updated with latest advancements.
* Support ad‑hoc data requests.
Qualifications:
* Recent graduate with bachelor’s or master’s in Data Science or related field.
* Strong statistical foundation and programming skills in Python or R.
* Proficiency with SQL.
* Experience with data visualisation tools.
* Understanding of machine learning algorithms.
* Excellent analytical, problem‑solving and communication skills.
* Independent and collaborative work style.
* Eagerness to learn.
Senior Data Scientist – Geospatial Analytics
Our client seeks a highly skilled senior data scientist with expertise in geospatial analytics. This fully remote, full‑time role is ideal for self‑motivated professionals in the mining sector. Key responsibilities and qualifications are listed below.
Key Responsibilities:
* Develop advanced geospatial analysis models.
* Design, build and maintain scalable data pipelines.
* Apply machine learning and statistical methods.
* Collaborate with domain experts.
* Visualise and communicate findings.
* Stay abreast of advancements in data science and geospatial tech.
* Develop and document methodologies.
* Contribute to strategic direction.
* Ensure data quality, integrity and security.
* Mentor junior data scientists.
Qualifications:
* Master’s or PhD in Data Science, Computer Science, Geospatial Information Science, Statistics or related field.
* Minimum 6 years of experience as a data scientist specializing in geospatial data.
* Proficiency in Python or R, including GeoPandas, SciPy and scikit‑learn.
* Expertise in ArcGIS, QGIS, PostGIS and spatial statistics.
* Strong knowledge of machine learning techniques.
* Experience with big data tech (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
* Excellent analytical and communication skills.
* Experience in the mining industry a plus.
* Ability to work independently.
Senior Data Scientist – Sports Analytics
Join a leading sports analytics firm in Sheffield as a Senior Data Scientist specialising in sports performance. The remote‑first role involves advanced statistical modelling, machine learning, and predictive analytics to inform strategy, player development and fan engagement.
Key Responsibilities:
* Develop and implement advanced statistical models and machine learning algorithms.
* Extract, clean and transform large datasets.
* Build predictive models for player performance and injury risk.
* Collaborate with sports analysts, coaches and clients.
* Design and conduct A/B tests.
* Visualise data and communicate findings.
* Stay abreast of research advancements.
* Contribute to proprietary analytical tools.
* Mentor junior data scientists.
* Ensure data privacy and security.
Qualifications:
* Master’s or Ph.D. in Data Science, Statistics, Computer Science, Mathematics or related field.
* Minimum 5 years of professional experience, preferably in sports analytics.
* Strong Python or R programming skills with relevant libraries.
* Proficiency in SQL and experience with large datasets and cloud platforms.
* Excellent statistical modelling and machine learning knowledge.
* Strong communication and presentation skills.
* Self‑motivated, organised and able to work in a distributed team.
Be The First To Know
About the latest Data analytics job placement courses in Doncaster and Sheffield, United Kingdom.
Note
If you’re asked to pay for a job, avoid the role and report the job to us immediately.
#J-18808-Ljbffr