Overview of Analytics Course in Durban

If you're looking to take your career to the next level or transition into a new field, an analytics course in Durban could be a game-changer for you. With the rise of big data and the increasing importance of data-driven decision-making, analytics skills are in high demand across a range of industries. Here's what you need to know about analytics courses in Durban. What is Analytics? Analytics refers to the process of using data, statistical analysis, and other techniques to extract insights and intelligence from data. Analytics can be used in a range of scenarios, from business intelligence to marketing, finance, healthcare, and more. In short, analytics is about turning raw data into actionable insights that can drive business decisions. Why study Analytics in Durban? There are several reasons why Durban is becoming a hub for analytics education in South Africa. For one, the city is home to some of the country's leading universities and higher education institutions, including the University of KwaZulu-Natal (UKZN) and Durban University of Technology (DUT), both of which offer analytics courses. In addition, Durban's vibrant economy and growing tech sector mean that there is significant demand for analytics skills in the region. Companies across a range of industries are seeking skilled data analysts and data scientists who can help them make sense of their data and gain a competitive edge. What are the key features of an Analytics course in Durban? Analytics courses in Durban typically cover a range of topics, from data management and visualization to data mining, predictive analytics, and machine learning. Some of the key features of analytics courses in Durban may include: - Hands-on practical experience: Many analytics courses in Durban include practical, hands-on work that allows students to apply the techniques and tools they are learning in a real-world setting. - Industry-relevant curriculum: Analytics courses in Durban are designed to provide students with the skills and knowledge they need to succeed in the local job market. This means that the curriculum is often tailored to the specific needs and requirements of industries in the region. - Experienced faculty: Many of the analytics courses in Durban are taught by experienced professionals who have worked in the industry. This means that students can learn from experts who have first-hand knowledge of the challenges and opportunities facing the field. What are the career prospects after completing an Analytics course? Completing an analytics course in Durban can open up a range of exciting career opportunities. Some of the roles you may be able to pursue include: - Data Analyst - Business Analyst - Analytics Manager - Data Scientist - Machine Learning Engineer - Data Engineer Salaries for analytics professionals in Durban vary depending on the role and level of experience. However, most analytics roles are well-paid, and demand for skilled professionals in this field is likely to grow in the coming years. Conclusion In conclusion, if you're interested in pursuing a career in analytics, Durban is a great place to start. With a range of courses available at leading universities, hands-on practical experience, and tailored, industry-specific curriculums, studying analytics in Durban can set you up for a successful career in this in-demand field.
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Internship

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Skillfloor Course Training Process
Skillfloor Course Training Process

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 Durban?

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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