The Data Analyst Course offered by SLA Consultants in Noida Sector 18 is a comprehensive, industry-aligned program designed to equip learners with the essential and advanced skills needed for data analytics roles in 2026 and beyond. It combines foundational knowledge of data handling with AI integration, practical exposure, and job placement support to ensure candidates are job-ready for demanding roles in multiple sectors.
This course spans approximately 150 hours and is delivered through both online and offline flexible batches, including weekday and weekend options. It covers five core modules that extensively train learners in:
Advanced Excel and VBA/Macros for data automation
SQL and MS Access for database management and data manipulation
Power BI and Tableau for interactive and business intelligence visualization
Python and R programming with data science and machine learning fundamentals
Real-time projects, case studies, and workshops based on actual business datasets
These modules are designed and taught by experienced industry experts, including IIT/NIT alumni and professionals with over 10 years of experience, ensuring relevance and quality. The curriculum balances theoretical concepts with hands-on practical training using real client projects and data challenges across industries like finance, healthcare, and telecom.
An important highlight is the inclusion of a free Data Science with AI certification, driven by IIT/NIT alumni trainers. This addition strengthens learners’ capabilities in predictive analytics, AI-driven decision-making, and automation—skills highly sought for 2026 job roles. The program keeps pace with the evolving data analytics landscape by integrating essential AI and machine learning components alongside core analytics tools.
SLA Consultants Noida offers 100% placement assistance once learners complete at least 70% of the course. The dedicated placement team coordinates interviews, soft skills training, and HR round preparation to maximize employment opportunities with top MNCs in the Delhi NCR region, especially in Noida. The institute leverages strong industry connections to facilitate job placements in data analyst, business analyst, MIS executive, and BI analyst roles.
Expert-led Instructor Training with a focus on practical workshops
Lab facilities simulating corporate-level technical tests and assignments
Flexible batch scheduling with rescheduling and doubt clearing support by the admin team
Hands-on learning with analytics case studies, client data exercises, and workshop participation
Certification recognized and accepted by industries for career advancement
SLA Consultants Noida’s Data Analyst Course in Noida is a future-ready, skill-focused program tailored for freshers and working professionals aiming to excel in the data analytics field in 2026. It combines comprehensive tool-based training, AI integration, practical project experience, and guaranteed placement support to create proficient analysts capable of handling real-world data challenges. This course is highly recommended for candidates seeking to update their skills and secure high-income roles in data analytics with a strong AI foundation.
SLA Consultants Data Analyst Course in Noida, Sector 18, Free Data Science with AI by SLA Consultants Noida, Update Skills for 2026 Jobs Details with Free SAP FICO Certification are available at the link below:
https://slaconsultantsnoida.in/institute-for-data-analytics-training-course/
https://slaconsultantsnoida.in/courses/best-data-analytics-training-institute/
Data Analytics Training Course Modules
Module-1 Data Analysis in Basic & Advanced Excel
Module-2 VBA Macros Automation
Module-4 Data Visualization- MS Power BI
Module-5 Data Visualization- Tableau
Module-7 Alteryx Data Analytics – ETL Tool
Module-9 HR Round Interview Preparation
Module-10 Artificial Intelligence
Contact Us:
SLA Consultants Noida
E-48, First Floor,
Sector 3,
Near Sector 16 Metro Station
Noida, Uttar Pradesh, 201301
Call +91- 8700575874
E-Mail: hr@slaconsultantsindia.com
Website: https://slaconsultantsnoida.in/