Overview of Analytics Course in Mysore

Mysore has emerged as a hub for education in India, with a number of renowned institutions offering diverse courses in various fields. One such field that has gained tremendous importance in recent years is analytics. Analytics is a data-driven approach to business problem-solving that includes analyzing, visualizing, and interpreting data to provide insights and improve decision-making. There are many analytics courses offered in Mysore that provide students with an in-depth understanding of analytics techniques and their applications across different industries. These courses are designed to equip students with the skills and knowledge required to become successful data analysts. Some of the popular analytics courses available in Mysore include: 1. Certificate Course in Analytics: This course covers the fundamental concepts of analytics, including data mining, data visualization, and machine learning. It is ideal for students who want to gain an understanding of analytics without committing to a full-time degree program. 2. PG Diploma in Business Analytics: This is a comprehensive program that covers various aspects of business analytics, including data management, descriptive and predictive analytics, and data visualization. This program is designed for those who want to pursue a career in business analytics. 3. M.Tech in Data Science and Analytics: This program is designed for students who want to pursue a career in data science. It covers topics such as data mining, machine learning, big data analytics, and data visualization. 4. Certificate Course in Data Analytics: This course covers the basics of data analytics, including data visualization, statistical analysis, and predictive modeling. It is ideal for professionals seeking to enhance their data analytics skills. 5. Executive Development Program in Business Analytics: This program is designed for working professionals who wish to enhance their skills in analytics. It covers topics such as data analytics in marketing, finance, and operations. All of these courses provide students with hands-on experience in data analysis tools such as R programming, Python, and SQL. They also provide opportunities for students to work on real-world projects and gain practical experience in applying analytics techniques to solve business problems. Apart from the technical skills, analytics courses in Mysore also focus on developing soft skills such as communication, teamwork, and leadership. This is because data analysts are required to work closely with business stakeholders and present their findings in a clear and concise manner. While the demand for analytics professionals continues to grow, there is a shortage of skilled professionals in the market. Completing an analytics course in Mysore can provide students with a competitive edge in the job market as well as the skills and knowledge required to succeed in a career in analytics. In conclusion, analytics courses in Mysore equip students with the technical and soft skills required to become successful data analysts. With the increasing demand for data-driven decision-making across various industries, these courses offer an excellent opportunity for students to build a rewarding career in analytics.
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Skill Level

NA

Internship

NA

Live Project

NA

Certificate

NA

Live Training

NA

Career Assistance

NA

Expiry Period

Lifetime
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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 Mysore?

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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