The Analytics Training in Guwahati by Skillfloor is a comprehensive, career-focused program designed for aspiring data professionals and working individuals who want to excel in data analytics and data-driven decision-making. The curriculum covers the complete analytics spectrum, beginning with statistics, probability, and exploratory data analysis, and progressing into Python, R, SQL, and machine learning techniques such as regression, classification, and clustering. With a strong emphasis on hands-on learning, students gain practical experience using industry tools like Excel, Tableau, Power BI, and SAS, developing real-world skills to uncover insights, solve business problems, and communicate findings effectively. Tailored to meet the rising demand for skilled professionals in Guwahati’s growing IT, telecom, logistics, and business ecosystem, this program prepares learners for roles in business intelligence, data analytics, and strategic decision-making.
Skillfloor’s analytics program also includes internships, live projects, and flexible learning schedules, making it ideal for both fresh graduates and working professionals. Learners build BI dashboards, develop machine learning models, and work on case studies that mirror real industry challenges across Assam and the Northeast. With India’s big data analytics market projected to reach USD 18.9B by 2025, completing this analytics course in Guwahati gives students a significant competitive advantage in the regional and national job market. By the end of the training, participants graduate with a solid portfolio of dashboards, reports, and predictive models, along with valuable real-world exposure that boosts employability and ensures they are job-ready from day one.
₹60,000
Hurry Up!
Limited seats call us now for amazing discounts on digital maketing course
The Business Analytics Certification in Guwahati is designed to help participants develop key skills in data analysis and business intelligence. The program covers essential topics such as data visualization, statistical analysis, and the use of popular tools like Tableau and Power BI. Participants will learn how to analyze data effectively and make informed decisions based on their insights. The course includes practical training and hands-on projects, allowing students to apply what they’ve learned in real-world scenarios. Upon completion, participants will receive a certification that demonstrates their expertise in analytics, giving them a competitive edge in the job market.
Skillfloor is officially recognized by the Government of India as a Startup India (DPIIT) certified institute — a mark of trust in the quality of our courses and career-focused learning.
We offer hands-on programs across multiple fields, designed by industry experts to help you gain skills that employers value:
Digital Marketing – Grow businesses online with SEO, social media, and analytics.
AI & Machine Learning – Build practical AI skills for real-world applications.
Ethical Hacking & Cybersecurity – Protect networks and systems from cyber threats.
Data Analytics & Data Science – Analyze data and make smarter decisions.
Other Emerging Technologies – Learn trending, in-demand skills.
At Skillfloor, you don’t just learn — you practice, complete live projects, and prepare for real career opportunities. Whether you’re a student, graduate, or working professional, we help you upgrade your skills and grow confidently in your career.
Join a government-recognized institute shaping India’s next generation of skilled professionals.
The demand for professionals in AI-powered analytics is accelerating as businesses shift toward automation and data-driven intelligence. Companies now use machine learning, predictive analytics, and AI-based forecasting models to improve efficiency and drive innovation. This growth is strongly supported by industry statistics, recent census workforce trends, and nationwide digital transformation initiatives.
According to emerging talent census reports, roles in data analytics, AI engineering, and business intelligence are among the fastest-growing job categories in India, with Coimbatore leading in tech-driven hiring. As organizations increasingly depend on AI-driven insights for decision-making, the need for professionals skilled in advanced analytics, neural networks, data modeling, and automation tools continues to rise, making AI-powered analytics one of the most promising and future-proof career paths today.
Data analytics professionals are in high demand worldwide, with competitive salaries reflecting their expertise. As of 2025, the average annual salaries for Data Analysts taken from Glassdoor are as follows:
These figures highlight the growing recognition of data analytics as a pivotal field across various industries, offering lucrative career opportunities globally.
Guwahati is witnessing a significant digital transformation, with businesses and government departments increasingly adopting data analytics to modernize operations. Studies show that over 65% of companies in Northeast India are now leveraging analytics for decision-making, up from just 40% five years ago. From telecom operators monitoring network performance to retail chains analyzing purchasing patterns, analytics helps organizations reduce operational inefficiencies by 20–30% and make faster, data-backed decisions.
Assam’s growing startup ecosystem, combined with rapid tech adoption in sectors like education, tourism, healthcare, and logistics, has accelerated the demand for real-time data insights. Companies in Guwahati now rely on dashboards, automated reporting, and predictive forecasting models to manage growth, optimize day-to-day operations, and understand customer behavior. With the regional analytics job market projected to grow by 18–20% annually, this shift toward data-driven functioning has created a strong demand for trained analytics professionals, making Guwahati an emerging hub for career opportunities in data science, business intelligence, and machine learning.
Industries in Guwahati are rapidly adopting business analytics to stay competitive. Over 60% of banks and financial institutions in Northeast India now use analytics for credit risk evaluation and customer segmentation, while manufacturing units leverage data to improve efficiency by 15–25% and enhance quality control. E-commerce and logistics providers rely on demand forecasting, route optimization, and warehouse analytics, reducing operational costs by up to 20%.
Education and healthcare sectors in the city are also implementing analytics for student performance tracking, patient management, and operational planning, achieving 10–15% process improvements. With analytics roles in Guwahati projected to grow by 18–20% annually, skilled professionals capable of designing dashboards, interpreting data, and supporting strategic decisions are increasingly in demand, positioning the city as a rising hub for data-driven careers in Northeast India.
Skillfloor follows a structured and outcome-driven Three-Phase Learning Methodology designed to equip learners with strong analytical expertise, practical experience, and complete job readiness. This approach ensures every student whether a fresher or a working professional develops the skills needed to excel in today’s competitive analytics job market.
Phase 1 – Foundational Preparation
Learners begin with guided self-paced study materials, including video lessons, eBooks, practice exercises, and foundational modules. This phase builds core knowledge in statistics, Excel, SQL, Python, data visualization, and business understanding, helping students enter the live training with confidence.
Phase 2 – Expert-Led Training & Hands-On Projects
In this phase, students participate in live instructor-led sessions, tool-based training, and real-time practice with datasets. Skillfloor’s industry experts deliver practical insights using tools such as Excel, Power BI, Tableau, Python, and MySQL. Learners also work on capstone projects, business case studies, and tool-based assignments that simulate real industry challenges.
Phase 3 – Internship & Real-World Project Experience
Skillfloor provides students with internship opportunities, live business projects, and guided industry workflows to ensure practical exposure. During this phase, learners apply their knowledge to real datasets, build dashboards, perform exploratory data analysis, and create predictive models. They also receive resume building, mock interview coaching, portfolio development, and placement assistance, ensuring they are completely job-ready.
Skillfloor’s Three-Phase Learning Model bridges theoretical understanding with applied industry experience, empowering learners to confidently begin careers in Data Analytics, Business Analytics, and Business Intelligence.
Data analytics is transforming how organizations operate, make decisions, and innovate, making it one of the most future-proof career paths today. At Skillfloor, we provide industry-aligned training, expert guidance, and continuous support to help students in Guwahati build strong and successful careers in the analytics field. As a leading analytics institute, we equip learners with the essential skills needed to excel in data-driven roles.
Our Data Analytics training programs equip you with the latest tools, techniques, and industry best practices, ensuring you remain competitive and future-ready. Skillfloor offers specialized courses in Data Science, Data Analytics, Artificial Intelligence, Machine Learning, Data Engineering, and Python Programming for all skill levels.. If you're exploring opportunities beyond Guwahati, you can also check our Analytics Course in Hyderabad to advance your career in another growing tech hub. Suppose you're looking to expand your skill set beyond analytics. In that case, Skillfloor also offers a comprehensive Digital Marketing Course in Guwahati, where you can learn SEO, social media marketing, Google Ads, content strategy, and email marketing with hands-on projects and placement support.
- Overview of data analysis and its importance in business
- Types of analytics: Descriptive, Predictive, Prescriptive
- Role of data in decision-making processes
- Introduction to common tools: Tableau, PowerBI, Excel
- Ethical considerations in data collection and analysis
- Data sources: Primary and secondary data
- Data collection methods (surveys, web scraping, databases)
- Data cleaning techniques (handling missing values, outliers)
- Data transformation and feature engineering
- Data storage concepts (structured vs. unstructured data)
- Descriptive statistics: Mean, median, mode
- Data visualization basics (histograms, scatter plots)
- Identifying data patterns and trends
- Outlier detection and handling methods
- Correlation and causation analysis
- Inferential statistics and probability theory
- Hypothesis testing (t-tests, chi-square tests, ANOVA)
- Measures of central tendency and variability
- Confidence intervals and margin of error
- Regression analysis: Linear and logistic regression
- Principles of effective data visualization
- Types of charts and their uses (bar, line, pie, heatmaps)
- Designing dashboards for different audiences
- Interactive visualization techniques
- Data storytelling for impactful presentations
- Time series analysis and forecasting methods
- Clustering and segmentation analysis
- Decision trees and classification techniques
- Introduction to machine learning in business analytics
- Model evaluation and selection
- Basics of SQL for data manipulation
- Creating databases and relationships
- Aggregating data with SQL (GROUP BY, JOIN)
- Data modeling for business intelligence (star and snowflake schemas)
- Case study: Building a business model with SQL
- Connecting and preparing data in Tableau
- Creating basic visualizations (charts, maps)
- Advanced Tableau functions (LOD calculations, table calculations)
- Building interactive dashboards and stories
- Publishing and sharing visualizations on Tableau Server/Online
- Introduction to PowerBI workspace and components
- Data import and transformation with Power Query
- Data modeling and relationships in PowerBI
- Creating and customizing visualizations
- Publishing and collaborating on PowerBI Service
- Selecting a real-world dataset for analysis
- Defining business questions and objectives
- Conducting data analysis and visualization
- Presenting findings in a comprehensive dashboard
- Peer review and feedback on project