Job Market Insights
The data analytics job market in 2025 is exceptionally strong and expanding rapidly across all sectors. The US Bureau of Labor Statistics projects a 23% increase in data analyst roles by 2032. Entry-level salaries have surged to $90,000, up $20,000 from 2024, with average salaries reaching $111,000 in the US. In India, entry-level analysts can expect ₹3.5–6 lakh per annum, with mid-career professionals earning ₹6–12 lakh, and top experts commanding ₹25 lakh or more. The Indian data analytics sector is expected to reach $118.7 billion by 2026, reflecting abundant opportunities for skilled professionals.
Skill Demand: Excel, VBA, SQL, MS Access, Power BI, Tableau, Alteryx, R Programming
Employers are consistently seeking candidates with proficiency in:
Excel & VBA: Essential for foundational analysis, automation, and reporting (cited in 41.3% of job postings).
SQL & MS Access: Critical for data manipulation, database management, and querying large datasets.
Power BI & Tableau: Leading tools for data visualization and business intelligence, mentioned in 24.7% and 28.1% of postings, respectively.
Alteryx & R Programming: Increasingly valued for automation, advanced analytics, and statistical modeling.
Python: Frequently offered as a free add-on in top courses, reflecting its growing importance for data science and machine learning.
Certification Courses: MIS Course in Delhi with 100% Job Guarantee
Programs like the “MIS Training Course in Delhi with 100% Job” by SLA Consultants India are tailored to meet market demand. These courses offer:
Hands-on training in all essential platforms (Excel, VBA, SQL, MS Access, Power BI, Tableau, Alteryx, R, Python).
Real-world projects simulating industry challenges.
Free Python Data Science courses as part of “Summer Offer 2025,” enhancing your profile with in-demand programming skills.
Strong placement support and a 100% job guarantee, especially for roles in MNCs.
Additional Benefits
Career Growth: Data analytics is not oversaturated for those with the right skills. Professionals can pivot between industries, ensuring flexibility and long-term security.
Financial Success: Certification holders earn significantly more than those without credentials, and unemployment rates are lower.
Networking & Mentorship: Many certification programs offer mentorship and networking opportunities, which are invaluable for career advancement.
A Data Analytics Certification Course in 2025—especially those covering Excel, VBA, SQL, MS Access, Power BI, Tableau, Alteryx, R Programming, and Python—is highly worth it. The job market is robust, salaries are rising, and demand for skilled analysts is at an all-time high. Courses like the MIS Course in Delhi with a 100% job guarantee by SLA Consultants India provide comprehensive, hands-on training and strong placement support, making them an excellent investment for anyone seeking a secure and lucrative career in data analytics.
SLA Consultants Is an Data Analytics Certification Course Worth It in 2025? Job Market Insights, Excel, VBA, SQL, MS Access, MS Power BI, Tableau. Alteryx, R Programming, “MIS Course in Delhi with 100% Job”, 110004 -“Summer Offer 2025″ Free Python Data Science Course” by SLA Consultants India Details with “New Year Offer 2025” with Free SAP FICO Certification are available at the link below:
https://slaconsultantsdelhi.in/training-institute-data-analytics-course-excel/
https://www.slaconsultantsindia.com/courses/best-ms-excel-vba-macros-sql-training-institute/
MIS and Data Analysis in Excel Training Course
Module 1 – Basic and Advanced Excel With Dashboard and Excel Analytics
Module 2 – VBA / Macros – Automation Reporting, User Form and Dashboard
Module 4 – Tableau | MS Power BI ▷ BI & Data Visualization
Module 5 – Python | R Programing ▷ BI & Data Visualization
Module 6 – Python Data Science and Machine Learning – 100% Free in Offer – by IIT/NIT Alumni Trainer
Contact Us:
SLA Consultants Delhi
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Laxmi Nagar, New Delhi – 110092
Call +91- 8700575874
E-Mail: hr@slaconsultantsindia.com
Website: https://slaconsultantsdelhi.in/
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