Overview of Analytics Course in Chandigarh

Chandigarh, often referred to as the "City Beautiful," is a hub for education and commerce in North India. The city is known for its excellent facilities and infrastructure and is home to some of the top educational institutions in the country. Over the years, Chandigarh has emerged as a center for analytics education, and a plethora of institutions are now offering courses that cater to this region's ever-growing demand for skilled analytics professionals. Analytics is an interdisciplinary field that combines computer science, statistics, and business to uncover actionable insights from data. In today's data-driven world, businesses and organizations across all industries require skilled analytics professionals who can analyze vast amounts of data to identify opportunities and make informed decisions. This is where analytics courses in Chandigarh come into the picture. Several institutes in Chandigarh offer analytics courses, ranging from certificate courses to full-fledged programs. These courses are designed to equip students with the essential knowledge, skills, and tools required to succeed in the analytics field. The curriculum of these courses typically includes subjects such as data mining, data warehousing, machine learning, predictive analytics, statistics, and business intelligence. One such institute offering analytics courses in Chandigarh is the Indian School of Business & Finance (ISBF). ISBF is affiliated with the University of London and offers various finance and management-related undergraduate and postgraduate courses. The institute's analytics program covers the foundations of data analytics, statistical analysis, and predictive modeling and is designed to provide students with the skills required for a successful career in data analytics. Another institute that offers analytics courses in Chandigarh is SAS India. SAS is a global leader in analytics and has been providing analytics education and training in India for more than two decades. The institute's analytics programs cover a range of topics, including SAS programming, statistical analysis, data mining, and reporting. SAS also offers industry-recognized certifications in analytics, which can enhance a student's employability. Apart from these institutes, many other colleges and universities in Chandigarh also offer analytics courses. These include Chandigarh University, Chitkara University, and Guru Nanak Dev University. These institutions offer both undergraduate and postgraduate courses in analytics, and the program's curriculum is continually evolving to keep pace with the rapidly changing analytics landscape. In conclusion, Chandigarh has emerged as one of the leading destinations for analytics education in India. The city offers a range of analytics courses that cater to students with different skill levels and career aspirations. Students pursuing these courses can expect to gain a comprehensive understanding of analytics concepts and techniques and be well-equipped to embark on a successful career in this exciting field.

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₹70,000

₹9

Skill Level

Beginner

Internship

Yes

Live Project

2

Certificate

Yes

Live Training

Yes

Career Assistance

Yes

Expiry Period

1 Months
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Skillfloor Course Training Process
Skillfloor Course Training Process

Internship Certificate

internship certificate

Completing this Analytics Course certifies your proficiency in data analysis, statistical methods, and essential analytics tools. This certification shows you can transform raw data into actionable insights, improving decision-making in various business contexts. It indicates your understanding of data visualization, predictive modelling, and data-driven strategy development, providing you with the skills to excel in analytics. This credential reflects your dedication to continuous learning and commitment to leveraging data for strategic advantage.

Analytics Tools Covered

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Why Choose SKILLFLOOR for Analytics in Chandigarh?

Why Course Training in Skillfloor

Syllabus

- 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

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