Analytics has become an integral part of the modern business world, and Faridabad has emerged as a hub for analytics education in India. With numerous institutes offering analytics courses, Faridabad has become an attractive destination for students looking to pursue a career in this field. Analytics courses in Faridabad cater to the needs of students and working professionals looking to upgrade their skills. These courses are designed to provide a comprehensive understanding of various analytical techniques and tools used in the industry today. They cover a broad range of topics, including data analysis, machine learning, statistical modeling, predictive analytics and data visualization. One of the most popular courses in analytics in Faridabad is the Post Graduate Program in Business Analytics (PGPBA) offered by the Institute of Management Technology (IMT), Faridabad. This course is designed for working professionals and recent graduates who want to gain expertise in analytics and data science. The course is conducted over 12 months and covers topics such as statistical modeling, predictive analytics, machine learning, and data visualization. The course also includes hands-on training on various analytics tools such as R, Python and Tableau. Another popular analytics course in Faridabad is the Executive Management Program in Data Analytics (EMDA) offered by the Birla Institute of Management Technology (BIMTECH), Faridabad. This course is designed for mid to senior-level executives who want to enhance their analytics skills and knowledge. The program spans over 15 months and covers topics such as data management, data warehousing, data visualization and predictive analytics. The course also includes case studies and practical sessions to help participants apply the concepts learned in real-world scenarios. Apart from these, there are several other institutes in Faridabad that offer courses in analytics. These include the Institute of Data Science (IDS), Faridabad, which offers a 6-month course in data science and analytics, and the National Institute of Financial Management (NIFM), Faridabad, which offers a 1-year postgraduate diploma in business analytics. One of the key advantages of pursuing an analytics course in Faridabad is the availability of experienced faculty. Most institutes have a pool of highly qualified and experienced faculty members who have worked in the analytics industry and have hands-on experience in using various analytics tools and techniques. This not only ensures quality education but also helps students learn practical aspects of analytics. In conclusion, analytics courses in Faridabad offer a diverse range of options for students and working professionals looking to pursue a career in analytics. These courses provide a comprehensive understanding of various analytics techniques and tools used in the industry today, and the availability of experienced faculty ensures quality education. With the demand for analytics professionals on the rise, pursuing an analytics course in Faridabad can prove to be a wise decision and help individuals build a successful career in this growing field.
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- 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