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Want a data analytics job but don’t have experience?
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Join our FREE Workshop and learn the exact roadmap to break into data analytics.
By Mr. Rajendra Prasad
Date: 18th April 2026
Time: 6:00 PM (IST)
This session can change your career direction
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Naresh I Technologies is hosting a live online workshop where you’ll build your first data analytics project in just 90 minutes. Yes… 90 minutes!
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Session by: Mr. Rajendra Prasad
Date: 10th April 2026
Time: 9:00 AM (IST)
Mode Of Training: Online
Honestly, if you’ve been thinking about learning Data Analytics…
this is a great place to start.
It’s free, practical, and you’ll actually build something.
Join the session & take your first step into data analytics.
Best Data Analytics Training in Delhi
When someone types “Best Data Analyst Training” into Google, they’re not just searching for a course — they’re searching for a career direction.
That search leads to NextGen Scholars.
In a world powered by data, the ability to analyze, interpret, and make decisions from numbers is no longer optional — it’s essential. At NextGen Scholars, we focus on turning curiosity into competence and skills into real-world impact.
Our Data Analyst training program is designed for students, freshers, and working professionals who want more than theory. From Excel, SQL, Python, and Power BI to hands-on projects and industry-aligned learning, every step is built to make you job-ready and future-proof.
This is where learning meets visibility. When learners look for trusted Data Analyst training, NextGen Scholars stands out — because results, relevance, and consistency matter.
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Your journey into data doesn’t start with a spreadsheet. It starts with the right search — and the right choice.
NextGen Scholars Learn smart. Grow fast. Build the future.
You know data is valuable—but do you know how to manage it responsibly?
🎓 In this short video, you’ll discover why Data Governance is the most overlooked but essential skill in today’s data-driven careers:
🔐 What is Data Governance? It’s a framework that ensures data is Available, Usable, Secure, and Accurate.
📉 Why It Matters: Even the best data analysis is flawed without governance. It protects your company, your customers, and your career.
💼 Career Impact: More companies are hiring Data Governance Analysts, and professionals with this skill are in demand for leadership roles in analytics and data science.
✅ Learn the fundamentals of data governance and more in our Data Science & Analytics Certification Program — available now at TCCI – Tririd Computer Coaching Institute, Bopal Ahmedabad.
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Data Science vs Data Analytics: What’s the Difference and Which One is Right for You?
In today’s data-driven world, “Data Science” and “Data Analytics” are two buzzwords that often get thrown around — sometimes even interchangeably. But while they’re related, they’re definitely not the same thing. So, what sets them apart? And more importantly, which one should you pursue?
Let’s break it down.
What is Data Analytics?
Data Analytics is all about examining existing data to find actionable insights. Think of it as zooming in on the present and past to understand what’s happening or what has already happened.
🔍 Key Tasks:
Cleaning and organizing data
Identifying trends and patterns
Creating dashboards and reports
Supporting business decisions
🛠 Common Tools:
Excel
SQL
Power BI / Tableau
Python (Pandas) or R
Who hires data analysts?
Almost every industry — from healthcare and finance to marketing and sports — needs people who can interpret data and make it useful.
What is Data Science?
Data Science takes things a step further. It’s a broader, more advanced field that involves creating models, algorithms, and even AI systems to predict future outcomes and uncover deeper insights.
Key Tasks:
Data wrangling and analysis
Building predictive models
Machine learning & AI
Big data processing
Common Tools:
Python / R
SQL / NoSQL databases
Jupyter Notebook
TensorFlow / Scikit-learn / PyTorch
Hadoop / Spark
Who hires data scientists?
Tech companies, research labs, financial institutions, and even startups rely on data scientists to drive innovation and strategic decisions.
🆚 So, What’s the Difference?
FeatureData AnalyticsData ScienceFocusDescriptive & diagnostic insightsPredictive & prescriptive modelingGoalUnderstand what happenedPredict what will happen and whySkillsStatistics, Excel, SQL, VisualizationProgramming, Machine Learning, AIToolsExcel, Tableau, Power BIPython, R, TensorFlow, Spark, HadoopComplexityModerateHigh
Which One is Right for You?
It depends on your interests, goals, and background:
Choose Data Analytics if you enjoy finding patterns, love organizing data, and want a business-focused role with quicker entry points.
Choose Data Science if you're into programming, math, and building systems that can predict the future.
Both paths are exciting, high-paying, and in demand. If you're just getting started, data analytics can be a great way to enter the field and then grow into data science later.
Final Thoughts
There’s no right or wrong choice — only what’s right for you. Whether you become a data analyst who shapes daily decisions or a data scientist driving long-term strategies with cutting-edge tech, you’ll be a part of the most powerful force in modern business: data.
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DATA ANALYTICS SOFTWARE
📊 Discover VK Academy: Your Gateway to Data Analytics Software Excellence 🌟
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