Overview of Analytics Course in Tiruchchirappalli

Tiruchirappalli, also known as Trichy, is an education hub in Tamil Nadu, India. The city is home to prestigious educational institutions, including the Indian Institute of Management (IIM) Trichy. Apart from IIM, there are numerous other institutions that offer various courses in different fields, including analytics. The demand for analytics professionals has increased exponentially in recent years. Organizations are now focusing on data-driven decision-making, making analytics skills sought after in every industry. Analytics involves collecting, analyzing, and interpreting large datasets to identify patterns, trends, and insights. Hence, to succeed in the field of analytics, you need to have sound analytical skills, data interpretation skills, and technology proficiency. Tiruchirappalli offers various analytics courses for both beginners and advanced learners. The courses are designed to provide students with the necessary skills to succeed in the analytics industry. Here are some analytics courses offered in Tiruchirappalli: 1. Post Graduate Diploma in Business Analytics: The Indian Institute of Information Technology (IIIT), Trichy, offers a one-year, full-time PG Diploma in Business Analytics. The program is designed to provide students with in-depth knowledge of analytics tools and techniques. The course covers topics such as data mining, predictive modeling, and business intelligence. 2. Diploma in Data Analytics: The National Institute of Digital India offers a diploma in data analytics. The program is designed to equip students with the necessary skills to work with large datasets. The course covers topics such as data visualization, machine learning, and statistical analysis. 3. PG Certificate Program in Business Analytics: Great Lakes Institute of Management also offers a PG Certificate Program in Business Analytics. The course is designed to provide students with a comprehensive understanding of analytics. The program covers topics such as data visualization, predictive modeling, and data mining. 4. Certificate in Data Science: The Indian Institute of Technology (IIT) - Tiruchirappalli, offers a certificate course in data science. The course is designed to introduce students to the basics of data science, including topics such as data analysis, machine learning, and statistical modeling. 5. M.Sc. Data Science and Analytics: Bishop Heber College offers a two-year, full-time M.Sc. program in Data Science and Analytics. The course is designed to provide students with a comprehensive understanding of data science and analytics. The program covers topics such as data visualization, machine learning, and statistical modeling. In conclusion, the demand for analytics professionals is increasing, and Tiruchirappalli offers various courses in analytics. Students who pursue these courses are equipped with skills needed to meet industry demands and career progress. If you are interested in pursuing a career in analytics, Tiruchirappalli can be a great place to start your journey.
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Skill Level

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Internship

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Live Project

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Certificate

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Live Training

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Career Assistance

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Expiry Period

Lifetime
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Internship Certificate

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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 Tiruchchirappalli?

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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