The Business Analyst Course in Ghaziabad by SkillFloor is a comprehensive program designed for both beginners and professionals aiming to excel in business analytics and make data-driven decisions. The course covers key topics like understanding data, performing statistical analysis, and using popular tools like Excel, SQL, and Power BI. Through practical exercises and real-world examples, students will learn how to analyze data, uncover valuable insights, and present their findings. This course is ideal for professionals seeking growth in business strategy, operations, or consulting, meeting the rising demand for skilled business analysts.
SkillFloor also offers an advanced Business Analytics Course in Ghaziabad, which helps students develop strong analytical and technical skills. This course covers topics such as predictive modeling, machine learning, big data analysis, and tools like Hadoop and Python. Students will learn to handle large data sets, make predictions, and solve business challenges using data. With a focus on real-world applications, this course is perfect for professionals or graduates who want to transition into roles in data analytics, business intelligence, or data science, providing the skills needed to succeed in today’s data-driven business environment.
Expert Instructors: Experienced professionals from the analytics field teach the course, sharing industry knowledge and practical tips. Their real-world experience helps students understand how analytics is applied in various industries.
Networking Opportunities: Students can connect with peers and professionals, which can lead to job opportunities and collaborations. SkillFloor also organizes events for students and alumni to meet industry leaders.
Hands-On Training: Students work on real data projects to practice what they’ve learned. This hands-on approach builds problem-solving skills and helps students gain confidence in their abilities.
Real-World Applications: The course teaches how to apply analytics to business decisions, helping students understand how to use data to improve business outcomes and make an impact.
Career Support Services: SkillFloor helps with resume writing and interview preparation, boosting students’ confidence and improving their chances of getting hired.
Certification Upon Completion: After finishing the course, students receive a certificate that validates their analytics skills, improving their job prospects in the field.
Flexible Learning Options: SkillFloor offers both online and classroom training, allowing students to choose what fits their schedule and learning style. This flexibility helps them learn at their own pace while balancing other commitments.
Comprehensive Curriculum: The course covers essential topics like data analysis, data visualization, and predictive modeling. It combines theory with practical skills to solve real-world problems, preparing students for analytics challenges.
Tool Focus: Students will learn to use key tools like Tableau, Power BI, and Excel, which are essential in analytics jobs. Mastering these tools makes students more competitive in the job market.
The Business Analytics Certification in Ghaziabad is designed to help participants develop key data analysis and business intelligence skills. 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 demonstrating their analytics expertise, giving them a competitive edge in the job market.
Industry-Relevant Skills: Learn important tools like Excel, SQL, Power BI, and Tableau, and develop key skills like data visualization and statistical analysis. These skills are highly sought after and improve your chances of getting hired.
Networking Opportunities: You can connect with instructors, classmates, and industry professionals to build a strong professional network. SkillFloor also organizes events where you can collaborate with experts in the field.
Great Job Opportunities: Completing a business analysis or data analytics course opens doors to well-paying jobs with opportunities for growth. These roles are in high demand in today’s data-driven world.
Career Support: SkillFloor helps you with job placement, resume writing, and interview preparation, making sure you're ready for the job market. This support boosts your confidence and helps you transition smoothly into your career.
Flexible Learning: SkillFloor offers both online and classroom learning, allowing you to choose the format that fits your schedule and lifestyle. You can learn at your own pace and manage your other commitments.
Real-World Experience: The course focuses on solving real business problems with data. Students work on live projects, applying their knowledge to practical situations, which prepares them for future job roles.
High Demand for Analysts: As companies rely more on data for decisions, the need for skilled business and data analysts is growing. There are many job opportunities in industries like finance, healthcare, and technology.
Complete Training: The program combines theory and hands-on practice, giving you both the knowledge and skills needed to tackle real-world challenges in business analysis and decision-making.
Suitable for All Levels: Whether you're a beginner or want to improve your skills, SkillFloor’s courses are designed for learners at every level. You can learn at your own pace, making it easy to fit your learning into your schedule.
Affordable Pricing: SkillFloor offers high-quality training at affordable prices, with flexible payment options. This makes professional development accessible and provides great value for your investment.
- 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