Overview of Analytics Course in Bhilai

Analytics has become an integral part of modern business strategy and decision-making. With the rise of Big Data and the increasing complexity of business processes, the demand for skilled analytics professionals has expanded rapidly in recent years. Bhilai, a city in Chhattisgarh state of India, is witnessing a surge in Analytics courses for students who aspire to carve out a career in this field. Analytics courses in Bhilai cover various aspects of data analysis, prediction, and optimization techniques. The courses prepare students to use statistical analysis tools, data mining, machine learning algorithms, and predictive modeling to extract insights from large volumes of data. The programs are typically designed to provide students with hands-on training in using analytical tools and software like Python, R, SQL, and Tableau. An analytics course in Bhilai typically lasts for several months, and they are available in various formats, including full-time, part-time, and online. The courses are open to students who have completed their graduation in any discipline. The curriculum starts with basic courses in Statistics, Probability, and Programming before moving on to advanced topics like Data Visualization, Predictive Modeling, and Machine Learning. One of the key advantages of pursuing an analytics course in Bhilai is the availability of experienced faculty members who are experts in their respective domains. The faculty members apply their expertise to provide students with theoretical knowledge and practical skills for a comprehensive understanding of analytics. The course methodology in Bhilai often focuses on providing hands-on practical training, enabling students to analyze real-world data sets. This approach helps students gain experience in applying analytical techniques to solve business problems and develop best practices that they can apply in their future careers. By pursuing an Analytics course in Bhilai, students can expect to gain a broad range of skills that are in high demand in the job market. These include expertise in Data Analysis, Data Management, Predictive Modeling, and Visualization. The skills acquired in these courses are applicable across a wide range of industries, including Banking, Hospitality, Healthcare, and E-commerce. Analytics course in Bhilai also offers excellent career opportunities. Graduates can find opportunities in various job roles such as Data Analyst, Business Analyst, Data Scientist, etc. They can work in diverse industries such as Marketing, Finance, Healthcare, IT, and Retail. With the increasing demand for analytics professionals in India, salaries for certified professionals in the field are also on the rise. In conclusion, pursuing an analytics course in Bhilai is an excellent value proposition for students who want to enter the lucrative field of data analytics. With experienced faculty, practical training, and excellent career opportunities, it's an excellent way to build a successful career in this rapidly growing industry.

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₹70

₹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 Bhilai?

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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