DataHelper Academy

02/09/2026

AI IS COMING FOR YOUR JOB… OR IS IT?

Here's something interesting.... ... .. ..

The share of UK businesses using AI has jumped from 12% in late 2023 to 35% in June 2026.

But here's the twist ... .. .

AI isn't necessarily replacing data analysts.

It's changing what data analysts need to know.

Think about it:

i. Excel + AI
ii. Statistics + AI
iii. Data Analytics + AI
iv. Human judgment

The people who learn how to work WITH AI may have a serious advantage over those who ignore it.

And you don't need to become a programmer or AI engineer.

Start with the fundamentals:

Data → Statistics → Analysis → AI

Read the full ONS report:
Artificial intelligence in UK businesses, 2023–2026 https://www.ons.gov.uk/businessindustryandtrade/business/businessservices/articles/artificialintelligenceinukbusinesses/2023to2026?utm_source

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This analysis uses the Business Insights and Conditions Survey to show how UK businesses are applying artificial intelligence, the factors shaping its uptake, how it is being integrated into business activities, and where its effects are emerging.

26/08/2026

OpenAI recently announced expanded access to advanced ChatGPT models for 100,000 academic researchers, specifically aimed at accelerating scientific research.

Read the article here: https://openai.com/index/chatgpt-for-academic-researchers/?utm_source

That signals a broader shift: AI literacy is becoming part of the modern researcher's toolkit, alongside statistics, R/Python, literature searching and research methodology.

Learn more by following, DataHelper Academy

OpenAI is giving 100,000 academic researchers free access to ChatGPT's most advanced AI models to accelerate scientific research, collaboration, and discovery.

26/08/2026

AI is changing the way we discover medicines.

Imagine combining AI, genomics, proteomics, and real biological experiments to uncover new treatments faster.

That is exactly where biomedical research is heading. The Wyss Institute at Harvard is building AI-driven approaches that use rich biological datasets to accelerate drug discovery, biomarker development, and precision medicine. https://wyss.harvard.edu/news/accelerating-biomedical-innovation-with-ai-through-collaborative-iteration/?utm_source

The future of biomedical research may not be AI vs. scientists.

It may be AI + scientists + biological data + experiments.

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The researchers who learn to work with data and AI will be increasingly valuable in modern biomedical research.

26/08/2026

AI is becoming a research assistant, but can we trust it to interpret science?

A fascinating warning from Nature’s npj Digital Medicine >>>>>>as AI becomes increasingly involved in BIOMEDICAL RESEARCH, it may end up becoming the first interpreter of scientific evidence for researchers, clinicians, and the public

25/08/2026

WE’RE STILL SERVING — AND WE’RE JUST GETTING STARTED!

To every customer and follower who has supported DataHelper, thank you!

Every project, inquiry, recommendation, comment, and follow motivates us to keep improving our services.

From data analysis and statistical support to research assistance and data training, DataHelper Academy continues to help individuals and organizations make better use of their data.

Send a message to learn more

17/08/2026

To all aspiring data analysts,
.. good data analysis is not just about knowing R, SPSS, Excel, Python, or Power BI. It is also about how you handle your client's work.

A trustworthy data analyst should be:

i. Timely — Delivers work within the agreed timeline.

ii. Confidential — Treats your data, research, and results as private.

iii. Accurate — Checks the data and analysis carefully before reporting results.

iv. Clear — Explains findings in language you can understand.

v. Reliable — Communicates honestly about progress, challenges, and deadlines.

vi. Competent — Uses the right analytical methods for the research question and data.

vii. Organized — Keeps datasets, code, outputs, and documentation properly managed.

viii. Ethical — Never manipulates results to produce a desired outcome.

Need reliable support with data cleaning, analysis, visualization, or research data management? Get in touch.
https://www.youtube.com/-t3y

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15/08/2026

15/08/2026

Your p-value is 0.03. So… Is Your Result Significant?

Not so fast.

A p-value < 0.05 does NOT automatically mean your research finding is important, reliable, or clinically meaningful.

You still need to ask:

i. How large is the effect?
ii. What is the confidence interval?
iii. Was the study adequately powered?
iv. Were the assumptions of the test met?
v. Were multiple comparisons performed?
vi. Does the finding make biological or clinical sense?

Statistical significance ≠ scientific importance.

This is one reason researchers need more than software that produces a p-value.

Whether you're using R, SPSS, Python, or AI, understand the statistics behind your results.

Don't just report the number. Understand the story behind it.

Follow DataHelper Academy to learn more.

07/08/2026

R Tip of the Day: Know Your Dataset's Structure

One of the first commands every R user should learn is str().

str(Stats)

In just one line, it tells you:
i. The number of observations and variables
ii. The data type of each variable (numeric, character, factor, etc.)
iii. A preview of the values in each column

Before analyzing your data, always check its structure. Many analysis errors happen because a variable has the wrong data type.

Clean analysis starts with understanding your data.

04/08/2026

Before You Trust Your Data, Verify It!

Great analysis starts with great data.

In R, data verification helps ensure your datasets are accurate, complete, consistent, and ready for meaningful insights.

With R tools, you can:
✅ Detect missing values
✅ Identify duplicates
✅ Check errors and unusual values
✅ Validate data quality
✅ Prepare reliable datasets for analysis

Whether in research, healthcare, business, or AI, verified data leads to trusted decisions.

Remember:
Garbage in = garbage out. Quality insights begin with quality data.

At DataHelper Academy, we train people on data collection and analytics using Excel, SPSS, R, Python, and AI.

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