The Data Science Training Course in Delhi NCR is a dedicated and intelligently designed Data Analytics Training Course that is targeted towards an individual who is good with the numbers and figures and wants to lead a successful career in the Data Analytics field.
Online / Classroom Data Science Training Course in Delhi offered by SLA Consultants India. Analytics course helps fresher or working professional tools work in different domains like Finance, Pharma, Sales & Marketing, Associates/ Process Associate, Telecom, Banking, Healthcare, Retail, FMCG, E-commerce, IT/ITES/KPO/BPO, etc. Data Science Training Institute in Delhi are designed by expert Analysts from Basic to Advanced which includes “Advanced Excel”, “VBA/Macros”, “MS Access”, “SQL”, “Microsoft Power BI”, “Tableau”, “Python”, “R” Data Science with ML AL.
If any learner wants to apply for a job as a Data Analyst, Business Analytics, Data Scientist then this course helps to get it. Data Science Training Certification in Delhi classes is available from 8 AM to 10 PM IST. Classes’ duration will be 1-2 hours every day and for working professional late evening batches or weekends batch is available. Before joining a Data Science Diploma Course in Delhi any participant can take free demo classes at our training center in Laxmi Nagar, Delhi/ Sector 3, Noida / Online Certification. SLA Consultants India is an ISO certified and Skill India Affiliated.
SLA Consultants India, Data Science Certification Course in Delhi provides a 100% Interview Guarantee for all Graduate, PG, Fresher & work Experience learners. Institute is located in Laxmi Nagar, New Delhi; Noida & Online Data Science Institute Diploma in Delhi is available as well.
SLA Consultants Data Science Training Course in Delhi, Faridabad, SLA Institute, Python Certification, and Details are available at the link below:
Python Practical Training Course
Visit Us at for Fee & New Year 2022 Offer by SLA Consultants.
SLA Consultants India
82-83, 3rd Floor,
Metro Pillar No 52
Vijay Block, Laxmi Nagar
New Delhi, 110092