SkillFloor offers a well-structured Data Analyst Course in Guwahati for individuals looking to build a career in data analysis. The course covers essential topics such as data collection, cleaning, visualization, and interpretation, using industry-standard tools like Excel, SQL, Python, and Power BI. Students gain hands-on experience through real projects and case studies, helping them solve practical business problems. By combining theoretical learning with practical application, the course prepares participants for roles such as Data Analyst, Business Analyst, or Data Consultant. Additionally, SkillFloor provides job placement support, helping students secure job opportunities after completing the program and enhancing their chances in the competitive job market.
SkillFloor also offers Data Analytics and Business Analyst Courses in Guwahati, which provide a strong foundation in business analytics and data science. These programs cover advanced topics like predictive modeling, machine learning, big data analysis, and the use of business intelligence tools. As one of the top data analytics training institutes in Guwahati, SkillFloor ensures the curriculum is up-to-date with industry trends. The courses emphasize practical, job-oriented skills and include placement support, helping students confidently enter the workforce. With flexible learning options, SkillFloor’s courses cater to professionals and graduates aiming to succeed in today's data-driven industries, providing the skills and knowledge to make informed business decisions based on data analysis.
Final Projects: The course includes projects where students can showcase their skills. These projects allow students to demonstrate their ability to solve real-world problems and create a portfolio that stands out to employers.
Flexible Learning Options: SkillFloor provides both online and classroom learning, so students can choose the format that fits their schedule and lifestyle. This flexibility helps them learn at their own pace while balancing other commitments.
Hands-On Training: Students will work on real-life data through projects and exercises. This practical approach helps them apply what they’ve learned, develop problem-solving skills, and gain confidence.
Experienced Instructors: The course is led by professionals with real-world experience in analytics. They share useful insights and industry practices, helping students understand how analytics is used in different fields.
Real-World Applications: The course teaches how to apply analytics in real business situations. Students will learn how to use data to help make better decisions and improve business performance, preparing them to make a meaningful impact in their careers.
Focus on Key Tools: Students will learn how to use important tools like Tableau, Power BI, and Excel. These tools are crucial in analytics jobs, and mastering them makes students more attractive to employers.
Comprehensive Curriculum: The course covers essential topics like data analysis, visualization, and predictive modeling. It teaches both the theory and hands-on skills needed to solve real data problems and prepare for challenges in analytics.
Career Support Services: SkillFloor helps students with resume writing and interview preparation, giving them the confidence to succeed and increasing their chances of getting hired.
Certification After Completion: Upon finishing the course, students receive a certificate that proves their analytics skills. This certificate is recognized by employers and can enhance job prospects in the field.
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.
High Demand for Analysts: Companies need skilled business and data analysts more than ever as they rely on data for decision-making. This creates many job opportunities in industries like finance, healthcare, and technology.
Essential Skills: Learn how to use tools like Excel, SQL, Power BI, and Tableau. Develop key skills such as data visualization and statistical analysis that are highly valued by employers.
Flexible Learning Options: SkillFloor offers both online and in-person classes, so you can choose the learning style that fits your schedule and pace. This makes it easier to balance learning with other commitments.
Career Support: SkillFloor helps you get job-ready with resume writing, interview practice, and job placement assistance. This support boosts your confidence and helps you start your career smoothly.
Complete Training: The program combines theory with hands-on practice, so you gain knowledge as well as real-world skills. This prepares you to solve challenges in business and data analysis.
Great Job Opportunities: Finishing a business analysis or data analytics course opens doors to high-paying roles with room for career growth. These jobs are crucial in today’s data-driven world.
Build Connections: Meet instructors, classmates, and industry professionals to grow your professional network. SkillFloor also organizes events where you can connect with experts and potential employers.
Real-World Learning: The course focuses on solving real problems with data. You’ll work on live projects that prepare you for the challenges you’ll face in your job.
For All Skill Levels: Whether you’re new to analytics or want to improve your existing skills, SkillFloor’s courses are designed for everyone. You can learn at your own pace to meet your goals.
Affordable Training: SkillFloor provides high-quality courses at an affordable cost. Flexible payment plans make it easier for you to invest in your career growth.
- 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