Overview of Analytics Course in Delhi

Johannesburg, the largest city in South Africa, is a hub for education and business. In recent years, there has been a surge in demand for analytics professionals, and Johannesburg has responded aptly with a range of courses on analytics. Analytics is the scientific process of discovering meaningful patterns in data. It involves the use of statistical and mathematical techniques to extract insights that can help organizations make informed decisions. With the growth in data generation, the need for analytics professionals has increased manifold. Industries such as finance, healthcare, retail, and manufacturing rely heavily on analytics for growth and competitiveness. Johannesburg offers a diverse range of analytics courses aimed at both beginners and experienced professionals. These courses range from short-term certificates to full-fledged master's degrees and cover various aspects of analytics such as descriptive, predictive and prescriptive analytics, data visualization, big data, machine learning, and artificial intelligence. The University of Johannesburg's School of Information and Communication Technology offers a full-time course in data science, which aims to equip students with skills in data mining, data analysis, and predictive modelling. The course provides an in-depth understanding of programming languages such as R and Python and tools such as Hadoop and Spark. The program also includes a capstone project allowing students to apply their learning to real-world problems. Wits Business School offers a part-time postgraduate course in business analytics, which provides an understanding of how businesses can use analytics to optimize their operations and improve decision-making. This course focuses on developing skills in data visualization, statistical analysis, and machine learning. The curriculum contains theory as well as practical applications of analytics. Students get to work with tools such as Tableau and SAS and have the opportunity to network with industry professionals. Gordon Institute of Business Science (GIBS) offers an Executive Education course in Data Analytics and Visualization. This course is designed for working professionals who want to develop practical skills in analytics. The curriculum includes an introduction to data analytics, data visualization, and tools like Excel, Tableau, and Power BI. The course provides a hands-on learning experience with a focus on solving business problems. A newly launched course in Data Analytics and Business Intelligence at the Johannesburg Business School aims to provide an introduction to data analytics, big data technologies, and tools like R and Python. The course combines theory with practical applications and includes a capstone project aimed at solving business problems. In conclusion, Johannesburg offers a range of analytics courses that cater to the ever-increasing demand for analytics professionals. These courses provide students with a strong foundation in analytics and equip them with practical skills that are in high demand in various industries. Pursuing an analytics course in Johannesburg can be a smart investment in one's career, given the growing importance of data-driven decision-making.

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Course Duration

2

Internship

One-month Internship

Live Training

Yes

Career Assistance

Yes
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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 Delhi?

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

Related Analytics Courses

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