Data Analyst Certifications in 2025: Which Ones Matter & How to Get Them, 100% Job in MNC, (Communities - Education)

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Data Analyst Certifications in 2025: Which Ones Matter & How to Get Them, 100% Job in MNC,


In 2025, the role of a data analyst is more crucial than ever as companies across industries rely on data-driven decisions to stay competitive. With evolving technologies and growing demand, acquiring the right data analyst certifications is essential to stand out in the job market. These certifications validate your skills, improve your credibility, and open doors to high-paying roles in top MNCs. Whether you're a fresher or a working professional aiming for career advancement, knowing which certifications matter and how to obtain them can set you on the right track.

Among the top certifications that matter in 2025 are Microsoft Certified: Data Analyst Associate (Power BI), Google Data Analytics Professional Certificate, Tableau Desktop Specialist, IBM Data Analyst Professional Certificate, and SAS Certified Specialist. These certifications focus on core analytical skills such as data cleaning, visualization, statistical analysis, and storytelling through data. Additionally, open-source programming languages like R and Python are in high demand, making certifications in these areas equally valuable. Companies hiring data analysts are looking for professionals who can not only handle data but also convert it into business insights using the latest tools and techniques.

One of the most efficient ways to acquire these skills and certifications is by enrolling in a comprehensive Data Analyst Course, like the one offered by SLA Consultants India in Delhi (110082). This course provides hands-on training in R Programming, Python, SQL, Power BI, Tableau, Advanced Excel, and Alteryx Data Engineering, all of which are crucial tools in the modern data analyst’s toolkit. The course is designed to help you prepare for global certifications while also equipping you with the practical knowledge needed to succeed in real-world data environments.

What sets SLA Consultants India apart is its 100% Job Assistance Program, which ensures that students not only gain technical expertise but also secure jobs in reputed MNCs. The institute’s trainers are industry professionals who bring real-time case studies and projects into the classroom. This practical exposure, combined with mock interviews and resume-building sessions, gives students a competitive edge in the job market. Furthermore, SLA provides free access to R Programming and Alteryx Data Engineering courses, making the learning experience even more valuable and budget-friendly.

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 3 - SQL and MS Access - Data Manipulation, Queries, Scripts and Server Connection - MIS and Data Analytics
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

In conclusion, if you aim to become a successful data analyst in 2025, investing in the right certifications and skillsets is essential. Certifications from platforms like Microsoft, Google, IBM, and Tableau validate your abilities, but it's the real-world application and hands-on training that make you job-ready. The Data Analyst Course by SLA Consultants India is structured to help you achieve both—internationally recognized certifications and job placement in top MNCs. With expert guidance, updated curriculum, and practical training, this course is your gateway to a lucrative career in the ever-growing field of data analytics. For more details Call: +91-8700575874 or Email: hr@slaconsultantsindia.com


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Target State: All States
Target City : Delhi
Last Update : Apr 18, 2025 7:13 AM
Number of Views: 33
Item  Owner  : Structured Learning Assistance - SLA
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Contact Phone: 09205283200

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2025-04-19 (0.262 sec)