What is the difference between data analytics and data science? Get Best Data Analyst Certification Course by SLA Consultants India
Mar 7th, 2025 at 12:31 Learning Delhi 50 views Reference: oBDbDRnel2E
Location: Delhi
Price: ₹29,500 Negotiable
Difference Between Data Analytics and Data Science
Data Analytics and Data Science are two closely related fields, but they serve different purposes and require distinct skill sets. Both involve working with data, but the approach, objectives, and tools used vary. Here’s a detailed comparison:
1. Definition
- Data Science: A broad field that encompasses the extraction of insights from data using various techniques, including machine learning, artificial intelligence (AI), and statistical modeling. It focuses on uncovering patterns, making predictions, and developing algorithms.
- Data Analytics: A subset of data science that involves examining raw data to identify trends, patterns, and actionable insights. It focuses more on answering specific business questions rather than building predictive models.
2. Scope and Objectives
- Data Science deals with the entire data lifecycle, from data collection and cleaning to building complex models and automating decision-making. It is more research-oriented and focuses on innovation.
- Data Analytics is more focused on past and present data to extract meaningful trends. It aims to optimize processes and improve decision-making for businesses.
3. Techniques and Tools
- Data Science involves machine learning, deep learning, big data technologies, and artificial intelligence. Popular tools include Python, R, TensorFlow, and Apache Spark.
- Data Analytics relies on statistical analysis, business intelligence, and data visualization. Common tools include SQL, Excel, Tableau, and Power BI.
4. Career Roles
- Data Scientists: Build predictive models, work on AI-driven projects, and handle unstructured data. Roles include Machine Learning Engineer, AI Specialist, and Research Scientist.
- Data Analysts: Analyze business data, create reports, and visualize insights. Roles include Business Analyst, Financial Analyst, and Marketing Analyst.
5. Complexity Level
- Data Science requires expertise in coding, mathematics, and advanced statistical methods. It involves complex algorithms and automation.
- Data Analytics is more about interpretation and does not always require coding skills. It focuses on business intelligence and operational efficiency.
Become a Certified Data Analyst with SLA Consultants India
If you want to start a career in data analytics, enrolling in the Data Analyst Course in Delhi by SLA Consultants India is a great choice. The course provides hands-on training in data visualization, SQL, Python, and advanced Excel, equipping learners with the skills required for a successful career in data analysis.
Join SLA Consultants India today and enhance your expertise in data analytics to land high-paying jobs in the industry!
SLA Consultants What is the difference between data analytics and data science? Get Best Data Analyst Certification Course by SLA Consultants India Details with "New Year Offer 2025" are available at the link below:
https://www.slaconsultantsindia.com/institute-for-data-analytics-training-course.aspx
https://www.slaconsultantsindia.com/certification-power-bi-course.aspx
Data Analytics Training in Delhi NCR
Module 1 - Basic and Advanced Excel With Dashboard and Excel Analytics
Module 2 - VBA / Macros - Automation Reporting, User Form and Dashboard
Module 4 - MS Power BI | Tableau Both BI & Data Visualization
Module 5 - Free Python Data Science | Alteryx/ R Programing
Module 6 - Python Data Science and Machine Learning - 100% Free in Offer - by IIT/NIT Alumni Trainer
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