How do deep learning and traditional Data Analytics and Data Engineering differ? Job Oriented Institute for Data Analyst by SLA
Mar 20th, 2025 at 10:50 Other Product Delhi 153 views-- ₨
Deep learning and traditional data analytics/data engineering differ in several key aspects, including their methodologies, applications, and required skill sets.
Deep Learning: Deep learning is a subset of machine learning that utilizes neural networks with multiple layers to model complex patterns in data. It excels in tasks such as image and speech recognition, natural language processing, and autonomous systems. Deep learning models require large datasets and substantial computational power for training. They are particularly effective in handling unstructured data and can automatically extract features without explicit programming.
Traditional Data Analytics and Data Engineering: Traditional data analytics focuses on examining datasets to uncover trends, patterns, and insights that inform business decisions. It often involves descriptive statistics, data visualization, and hypothesis testing. Data engineering, on the other hand, involves the design and construction of systems for collecting, storing, and analyzing data. It ensures that data is accessible, reliable, and prepared for analysis. These fields typically handle structured data and employ tools like SQL for database management, Excel for data manipulation, and BI tools like Tableau and Power BI for visualization.
Job-Oriented Data Analyst Course by SLA Consultants India: SLA Consultants India offers a comprehensive Data Analyst Course in Delhi designed to equip participants with practical skills in various data analysis tools and techniques. The course covers:
- Module 1: Basic and Advanced Excel with Dashboard and Excel Analytics
- Module 2: VBA/Macros - Automation Reporting, User Form, and Dashboard
- Module 3: SQL and MS Access - Data Manipulation, Queries, Scripts, and Server Connection
- Module 4: Tableau | MS Power BI - BI & Data Visualization
- Module 5: Python | R Programming - BI & Data Visualization
- Module 6: Python Data Science and Machine Learning - 100% Free in Offer - by IIT/NIT Alumni Trainer
Course Duration: The complete program spans approximately 150 hours, with individual modules ranging from 25 to 30 hours each. Flexible batch timings are available, including weekday and weekend options to accommodate different schedules.
Certification and Placement: Upon completion, participants receive industry-recognized certification. SLA Consultants India also provides placement assistance, arranging interviews until candidates secure suitable positions.
Location: The institute is located in Delhi, with specific details available on their official website.
SLA Consultants How do deep learning and traditional Data Analytics and Data Engineering differ? Job Oriented Institute for Data Analyst Course in Delhi, 110037., Excel, VBA, SQL, MS Access, Power BU, Tableau, Python, Alteryx, R Program, 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://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 Programming
Module 6 - Python Data Science and Machine Learning - 100% Free in Offer - by IIT/NIT Alumni Trainer
Contact Us:
SLA Consultants India
82-83, 3rd Floor, Vijay Block,
Above Titan Eye Shop,
Metro Pillar No.52,
Laxmi Nagar, New Delhi - 110092
Call +91- 8700575874
E-Mail: hr@slaconsultantsindia.com
Website: https://www.slaconsultantsindia.com/
