{"id":100718,"date":"2025-12-08T17:01:33","date_gmt":"2025-12-08T09:01:33","guid":{"rendered":"https:\/\/adswan.com\/sg\/?post_type=advert&p=100718"},"modified":"2025-12-08T17:01:39","modified_gmt":"2025-12-08T09:01:39","slug":"data-science-training-course-in-delhi-noida-100-job-update-skills-in-gen-ai-for-2026-mnc-career-python-gen-ai-certification-sla-analytics-and-data-science-institute","status":"publish","type":"advert","link":"https:\/\/adswan.com\/sg\/advert\/data-science-training-course-in-delhi-noida-100-job-update-skills-in-gen-ai-for-2026-mnc-career-python-gen-ai-certification-sla-analytics-and-data-science-institute\/","title":{"rendered":"Data Science Training Course in Delhi, Noida, 100% Job [Update Skills in Gen AI, for 2026 MNC Career] – Python Gen AI Certification, SLA Analytics and Data Science Institute,"},"content":{"rendered":"

SLA Analytics and Data Science Institute offers the Data Science Training Course in Delhi and Noida, guaranteeing 100% job placement for 2026 MNC careers with Gen AI updates and Python Gen AI Certification.\u200b
\nThis 150-hour program equips freshers and professionals with Python\/R programming, machine learning\/deep learning, Tableau\/Power BI visualization, SQL\/Excel\/VBA, Alteryx ETL, Spark\/Hadoop big data, and Gen AI tools like Copilot for predictive analytics, NLP, and ethical AI governance.\u200b<\/p>\n

Data Science Training Course in Delhi, Noida, 100% Job [Update Skills in Gen AI, for 2026 MNC Career] – Python Gen AI Certification, SLA Analytics and Data Science Institute,<\/strong><\/p>\n

Classroom sessions at Laxmi Nagar Delhi or Sector 115 Noida, plus online formats by IIT\/NIT alumni trainers, deliver 20+ live projects, workshops, case studies, and corporate exposure simulating MNC data challenges.\u200b<\/p>\n

Core modules cover data acquisition, statistical methods, neural networks, dimensionality reduction, supervised\/unsupervised learning, and IoT integration on messy datasets for 2026 readiness across Delhi NCR locations.\u200b
\nFree bonuses include advanced Python and AI overviews with flexible weekday\/weekend batches under ISO\/Skill India approvals.\u200b<\/p>\n

Data Science Training Course in Delhi, Noida, 100% Job [Update Skills in Gen AI, for 2026 MNC Career] – Python Gen AI Certification, SLA Analytics and Data Science Institute,<\/strong><\/p>\n

Placement support post-70% completion arranges MNC interviews via resume building, mock tests, HR prep, and guarantees until success.\u200b
\nLifelong aid features doubt clearance, rescheduling, handouts, and email\/WhatsApp assistance.\u200b<\/p>\n

IBM\/ISO\/NSDC certifications validate Data Science, Gen AI, and Python skills for Data Scientist\/Analyst roles.\u200b
\nPractical training builds forecasting and decision-making proficiency effectively.\u200b
\nGraduates leverage alumni networks for rapid placements.<\/p>\n

SLA Consultants Data Science Training Course in Delhi, Noida, 100% Job [Update Skills in Gen AI, for 2026 MNC Career] – Python Gen AI Certification, SLA Analytics and Data Science Institute, <\/strong>details with New Year Offer 2025 are available at the link below:<\/p>\n

Python Practical Training Course<\/h4>\n
\n
\n
Module 1 \u2013 Introduction to Python<\/h5>\n<\/div>\n
\n
Module 2 \u2013 Python – Variables and Data Types<\/h5>\n<\/div>\n
\n
Module 3 \u2013 Python – Basic Python Syntax<\/h5>\n<\/div>\n
\n
Module 4 \u2013 Python – Other Python Operators<\/h5>\n
\n
Module 5 \u2013 Python – Conditional Statements<\/h5>\n
\n
Module 6 \u2013 Python Functions<\/h5>\n
\n
Module 7 \u2013 Python Sequences<\/h5>\n
\n
Module 8 \u2013 Python Iterations<\/h5>\n
\n
Module 9 \u2013 Python Advanced Python Tools<\/h5>\n
\n
Module 10 \u2013 Advanced Statistical Methods in Python<\/h5>\n
\n
Module 11 \u2013 Advanced Statistical Methods \u2013 Linear regression<\/h5>\n
\n
Module 12 \u2013 Advanced Statistical Methods \u2013 Multiple Linear regression<\/h5>\n
\n
Module 13 \u2013 Advanced Statistical Methods \u2013 Logistic regression<\/h5>\n
\n
Module 14 \u2013 Advanced Statistical Methods \u2013 Cluster Analysis<\/h5>\n
\n
Module 15 \u2013 Advanced Statistical Methods \u2013 K- Means Clustering<\/h5>\n
\n
Module 16 \u2013 Advanced Statistical Methods \u2013 Other Types of Clustering<\/h5>\n
\n
Module 17 \u2013 Mathematics<\/h5>\n
\n
Module 18 \u2013 Deep Learning<\/h5>\n
\n
Module 19 \u2013 Deep Learning – Introduction to Neural Networks<\/h5>\n
\n
Module 20 \u2013 Deep Learning – How to Build a Neural Network from Scratch with NumPy<\/h5>\n
\n
Module 21 \u2013 Deep Learning – TensorFlow: Introduction<\/h5>\n
\n
Module 22 \u2013 Deep Learning – Digging Deeper into NNs: Introducing Deep Neural Networks<\/h5>\n
\n
Module 23 \u2013 Deep Learning – Overfitting<\/h5>\n
\n
Module 24 \u2013 Deep Learning – Initialization<\/h5>\n
\n
Module 25 \u2013 Deep Learning – Digging into Gradient Descent and Learning Rate Schedules<\/h5>\n
\n
Module 26 \u2013 Deep Learning – Preprocessing<\/h5>\n
\n
Module 27 \u2013 Deep Learning – Classifying on the MNIST Dataset<\/h5>\n
\n
Module 28 \u2013 Deep Learning – Business Case Example<\/h5>\n
\n
Module 29 \u2013 Deep Learning – Conclusion<\/h5>\n
\n
Module 30 – Flow Control<\/h5>\n<\/div>\n
\n
Module 31 – Sequence Data<\/h5>\n<\/div>\n
\n
Module 32 – Functions<\/h5>\n<\/div>\n
\n
Module 33 – Errors and Exception Handling<\/h5>\n<\/div>\n
\n
Module 34 – Modules<\/h5>\n<\/div>\n
\n
Module 35 – Importing and Exporting Data<\/h5>\n<\/div>\n
\n
Module 36 – Data Manipulation and Data Analysis<\/h5>\n<\/div>\n
\n
Module 37 – Data Structures and Regular Expressions<\/h5>\n<\/div>\n
\n
Module 38 – Live Practice Sessions<\/h5>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
\n
\n

R Programming Training Course<\/h4>\n
\n
\n
Module 1- Introduction to Business Analytics<\/h5>\n<\/div>\n
\n
Module 2 \u2013 Machine Learning by Using R-Programming<\/h5>\n<\/div>\n
\n
Module 3 \u2013 FUNDAMENTAL OF STATISTICS<\/h5>\n<\/div>\n
\n
Module 4 \u2013 Introduction to Data Analytics<\/h5>\n<\/div>\n
\n
Module 5 \u2013 Introduction to R programming<\/h5>\n<\/div>\n
\n
Module 6 \u2013 Managing Data Frames with the dplyr package<\/h5>\n<\/div>\n
\n
Module 7 \u2013 Machine Learning vs Statistical Modeling and Supervised vs Unsupervised Learning<\/h5>\n<\/div>\n
\n
Module 8 \u2013 Supervised Learning I<\/h5>\n<\/div>\n
\n
Module 9 \u2013 Supervised Learning II<\/h5>\n<\/div>\n
\n
Module 10 \u2013 Unsupervised Learning<\/h5>\n<\/div>\n
\n
Module 11 \u2013 Dimensionality Reduction and Collaborative Filtering<\/h5>\n<\/div>\n
\n
Module 12 \u2013 Classification<\/h5>\n<\/div>\n
\n
Module 13 \u2013 Tree-Based Methods<\/h5>\n<\/div>\n
\n
Module 14 \u2013 Time Series andForecasting<\/h5>\n<\/div>\n
\n
Module 15 \u2013 Support Vector Machines \u2013 Outline<\/h5>\n<\/div>\n
\n
Module 16 \u2013 Principal Component Analysis<\/h5>\n<\/div>\n
\n
Module 17 – R Data Structure<\/h5>\n<\/div>\n
\n
Module 18 – Apply Functions<\/h5>\n<\/div>\n
\n
Module 19 – Apply Functions<\/h5>\n<\/div>\n
\n
Module 20 – Apply Functions<\/h5>\n<\/div>\n
\n
Module 21 – Hypothesis Testing I<\/h5>\n<\/div>\n
\n
Module 22 – Hypothesis Testing II<\/h5>\n<\/div>\n
\n
Module 23 – Regression Analysis<\/h5>\n<\/div>\n
\n
Module 24 – Classification<\/h5>\n<\/div>\n
\n
Module 25 – Clustering<\/h5>\n<\/div>\n
\n
Module 26 – Association<\/h5>\n

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Contact Us:
\nSLA Consultants India<\/strong>
\n82-83, 3rd Floor, Vijay Block,
\nAbove Titan Eye Shop,
\nMetro Pillar No. 52,
\nLaxmi Nagar, New Delhi,110092
\nCall +91- 8700575874
\nE-Mail: hr@slaconsultantsindia.com
\nWebsite:\u00a0https:\/\/www.slaconsultantsindia.com\/<\/strong><\/p>\n","protected":false},"author":0,"template":"","advert_category":[240],"class_list":["post-100718","classified","type-advert","status-publish","hentry","advert_category-full-time"],"_links":{"self":[{"href":"https:\/\/adswan.com\/sg\/wp-json\/wp\/v2\/advert\/100718","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/adswan.com\/sg\/wp-json\/wp\/v2\/advert"}],"about":[{"href":"https:\/\/adswan.com\/sg\/wp-json\/wp\/v2\/types\/advert"}],"wp:attachment":[{"href":"https:\/\/adswan.com\/sg\/wp-json\/wp\/v2\/media?parent=100718"}],"wp:term":[{"taxonomy":"advert_category","embeddable":true,"href":"https:\/\/adswan.com\/sg\/wp-json\/wp\/v2\/advert_category?post=100718"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}