What is the difference between data analytics and data science? Job Oriented Institute for Data Analyst Course in Delhi, 110022. by SLA Professional
Mar 18th, 2025 at 12:06 Learning Dehra Dūn 11 views Reference: 684Location: Dehra Dūn
Price: Free Negotiable
Difference Between Data Analytics and Data Science
Data Analytics and Data Science are closely related fields but have distinct roles and objectives in the world of data-driven decision-making. While both involve working with data, they differ in terms of scope, techniques, and applications.
1. Scope and Objective
- Data Science: A broader field that encompasses data analytics, machine learning, artificial intelligence, and big data technologies. It focuses on extracting insights and predicting future trends.
- Data Analytics: A subset of data science that focuses on analyzing historical data to identify patterns, trends, and actionable insights for business decisions.
2. Techniques and Tools
- Data Science: Uses advanced statistical methods, machine learning algorithms, Python, R, SQL, deep learning frameworks, and big data technologies like Hadoop and Spark.
- Data Analytics: Employs tools like Excel, SQL, Tableau, Power BI, and basic statistical techniques to process and visualize data.
3. Application Areas
- Data Science: Used in fraud detection, recommendation systems, automation, AI applications, and predictive analytics.
- Data Analytics: Applied in business intelligence, marketing analytics, financial analysis, healthcare analytics, and sales optimization.
4. Skills Required
- Data Scientists: Need expertise in mathematics, programming, machine learning, AI, big data tools, and domain knowledge.
- Data Analysts: Require proficiency in data visualization, statistical analysis, SQL, and business intelligence tools.
5. Career Opportunities
- Data Scientists: Work as AI engineers, machine learning specialists, research analysts, and big data engineers.
- Data Analysts: Find roles as business analysts, financial analysts, market researchers, and reporting specialists.
Job-Oriented Data Analyst Course at SLA Consultants India, Delhi 110022
SLA Consultants India offers a comprehensive Data Analyst Course in Delhi (110022) designed for beginners and professionals looking to upskill. This course covers:
- Excel & Advanced Excel
- SQL & Database Management
- Tableau & Power BI for Data Visualization
- Python & R for Data Analysis
- Statistical & Business Analytics
Why Choose SLA Consultants India?
Industry-focused curriculum
Hands-on projects and real-time case studies
Experienced trainers and industry experts
Certification and placement assistance
If you're looking to build a rewarding career in Data Analytics, SLA Consultants India in Delhi (110022) is a great place to start!
SLA Consultants What is the difference between data analytics and data science? Job Oriented Institute for Data Analyst Course in Delhi, 110022. 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://slaconsultantsdelhi.in/courses/best-data-analytics-training-institute/
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
Contact Us:
SLA Consultants India
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Metro Pillar No.52,
Laxmi Nagar, New Delhi - 110092
Call +91- 8700575874
E-Mail: hr@slaconsultantsindia.com
Website: https://www.slaconsultantsindia.com/