Analytics is the practice of analyzing data and extracting insights to make informed decisions. It is rapidly gaining popularity across industries because of the competitive advantage it provides. Many companies are now hiring professionals who have expertise in data analytics to help them with their day-to-day operations. For this reason, the demand for analytics courses has exploded in recent years. Kolkata, the capital of West Bengal, has been no exception. Analytics courses in Kolkata offer various levels of training, including online courses, diploma courses, certificate courses, and graduation level courses. Some of the well-known institutions that offer analytics courses in Kolkata are Indian Institute of Technology (IIT), Indian Institute of Management (IIM), and Indian Statistical Institute (ISI). These institutions offer comprehensive training in analytics and are well-known for their exceptional faculty. A course in analytics typically covers a broad range of topics such as data visualization, statistical analysis, data mining, predictive modeling, machine learning, and data management. Topics like Excel, R, Python, and SQL are also included in the courses because these are essential tools for analytics. There are also courses that focus exclusively on a particular area of analytics, like marketing analytics or web analytics. One significant advantage of pursuing an analytics course in Kolkata is the job prospects. The city has become India's second-largest IT hub in recent years, and the demand for analytics professionals has been on the rise. Several multinational companies have their offices in Kolkata, including Deloitte, Capgemini, and IBM, which means that there are plenty of opportunities for professionals with analytics skills. Another advantage of pursuing an analytics course in Kolkata is the low cost of living. The cost of living in Kolkata is relatively low compared to other metropolitan cities in India, such as Mumbai or Delhi. This means that students pursuing analytics courses can save a considerable amount of money on accommodation, food, and transport. One such institution that offers analytics courses in Kolkata is Praxis Business School. Praxis Business School offers courses in data science and business analytics that cater to the industry's demands. The courses are designed by industry experts, keeping in mind the current trends and technology. Students receive an in-depth understanding of the tools, need, and application of data science and business analytics in the industry. The program covers topics such as data science, machine learning, decision science, and big data engineering. The course structure includes case studies, assignments, and group projects, which enhance a student's practical knowledge and skills. The faculty at Praxis Business School consists of professors with extensive experience in data science and analytics, which ensures that the students receive quality education. In conclusion, pursuing an analytics course in Kolkata has several advantages, including the low cost of living and a plethora of job opportunities. Institutions like Praxis Business School, Indian Institute of Technology (IIT), Indian Institute of Management (IIM), and Indian Statistical Institute (ISI) offer comprehensive courses that cater to the industry's demand for analytics professionals. It is an excellent choice for students who want to upgrade their skills and embark on a successful career in analytics.
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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