Ranchi, the capital city of Jharkhand, is home to several universities and educational institutions offering a wide range of academic programs. One such course which has gained significant popularity in recent years is analytics. The analytics course in Ranchi is designed to equip students with the latest tools and techniques used for data analysis and interpretation. Analytics is a growing field, essential for making informed decisions in various industries, including finance, healthcare, retail, and technology. The analytics course in Ranchi provides students with a strong foundation in statistical analysis, data mining, data visualization, and machine learning techniques. The program offers both theoretical and practical knowledge, giving students a hands-on learning experience in the field of analytics. One of the major advantages of pursuing an analytics course in Ranchi is the availability of experienced faculty members and state-of-the-art infrastructure. The faculty members are experts in their respective fields and have extensive industry experience. They ensure that the curriculum is constantly updated to keep pace with the latest developments in the field of analytics. Moreover, the analytics course in Ranchi offers students opportunities to participate in real-world projects, internships, and workshops. These experiences allow students to apply their learning and gain practical exposure to the industry. The program also fosters engagement with the industry through guest lectures, industry visits, and collaborations with leading organizations in the field of analytics. The duration of the analytics course in Ranchi varies depending on the level of study. Bachelor's degree courses in analytics typically span four years, while master's courses are typically two years. The curriculum includes core subjects such as statistical analysis, data mining, machine learning, and programming languages such as R and Python. Students can also choose from electives such as big data analytics, marketing analytics, and financial analytics. Graduates of the analytics course in Ranchi have many career opportunities, such as data analyst, business analyst, data scientist, and research analyst. These roles are in high demand as businesses and organizations rely more and more on data-driven decision making. The skills learned in the analytics program are also applicable in other fields, such as finance, healthcare, and marketing. In conclusion, the analytics course in Ranchi provides a comprehensive education in the latest tools and techniques required for data analysis and interpretation. Students benefit from experienced faculty, state-of-the-art infrastructure, and practical exposure to the industry. The course offers great career prospects in various fields and is a popular choice for students looking to enter the dynamic field of analytics.
₹70
- 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