Data Analytics

The Data Analytics Program at SKETO INFOTECH is designed to provide learners with the essential skills and tools needed to analyze and interpret data effectively. This comprehensive course covers the entire data analytics lifecycle, from data collection and cleaning to advanced statistical analysis and visualization. With a combination of Python programming, SQL for analytics, Tableau, and statistical methods, this program prepares you to handle real-world data challenges and make data-driven decisions. The course focuses on practical skills and hands-on experience, making it ideal for beginners as well as professionals looking to expand their expertise in data analytics.

Key Skills and Outcomes:
By the end of this program, you will have a deep understanding of data analytics techniques, including data wrangling, statistical analysis, and data visualization. You will be proficient in using Python, SQL, and Tableau for data manipulation, analysis, and reporting. The course equips you to work with various types of data, integrate different tools for analysis, and create meaningful visualizations to communicate insights effectively.

Target Audience:
This program is suitable for individuals who want to build a career in data analytics, including beginners, business professionals, and anyone interested in making data-driven decisions. It is especially beneficial for those looking to upskill or transition into data analytics roles.

Course Content:

• Introduction to Data Analytics:

1. Introduction to Data Analytics & its Fields:
   Gain a foundational understanding of data analytics, its applications, and the different fields within data analytics such as descriptive, diagnostic, predictive, and prescriptive analytics.

• Programming and Data Handling:

2. Python Programming:
   Learn Python programming from scratch and explore how it is used for data analysis, including data manipulation, automation, and visualization.
3. Python Libraries for Analytics:
   Get hands-on experience with popular Python libraries such as Pandas, NumPy, and Matplotlib, which are essential for data manipulation, statistical analysis, and creating visualizations.

• SQL for Data Analytics:

4. SQL for Analytics:
   Learn SQL, the standard language for querying and managing databases. You will develop the skills to write complex queries, filter and aggregate data, and join multiple datasets to extract meaningful insights.
5. Integrating Python and SQL:
   Learn how to seamlessly integrate Python and SQL to automate data extraction, manipulation, and analysis from relational databases, improving the efficiency of your workflow.

• Statistics for Data Analysis:

6. Descriptive Statistics:
   Learn how to summarize and describe the main features of a dataset, including measures of central tendency, dispersion, and data distribution.
7. Inferential Statistics:
   Understand the principles of inferential statistics, including sampling, probability distributions, and making predictions or inferences about a population based on a sample.
8. Hypothesis Testing:
   Master hypothesis testing techniques to draw conclusions from data, understand the concept of null and alternative hypotheses, p-values, and statistical significance.

• Data Visualization with Tableau:

9. Introduction to Tableau:
   Get introduced to Tableau, one of the most powerful data visualization tools used for creating interactive, shareable dashboards.
10. Tableau Functionalities:
    Learn the core functionalities of Tableau, including connecting to data sources, creating charts, and building reports and dashboards to represent your data visually.
11. Combining SQL and Tableau:
    Learn how to use SQL queries within Tableau to extract and manipulate data, giving you more flexibility in your data visualizations.
12. Software Integration:
    Explore how to integrate different software tools like Python, SQL, and Tableau to streamline your data analytics processes, making it easier to analyze, visualize, and report on data.

• Advanced Analysis and Visualization:

13. Using Tableau to Analyze the Predicted Output:
    Learn how to use Tableau to analyze predicted data, creating dashboards that help you visualize trends, outliers, and patterns in your data predictions.

Capstone Project:

To cement your learning, you will work on a real-world project that integrates Python, SQL, and Tableau, allowing you to apply the skills you have acquired throughout the program. This project will give you practical experience in solving complex data analytics problems and creating interactive dashboards to showcase your insights.

Learning Format:
This program is available in both online and in-person formats, offering a mix of live sessions, hands-on exercises, and practical projects. You will receive one-on-one support from instructors and have access to real-world datasets for analysis.

Certification and Career Impact:
Upon successful completion, you will receive a certification from SKETO INFOTECH, validating your skills in data analytics and making you job-ready for roles such as Data Analyst, Business Intelligence Analyst, and more. This certification will be a valuable addition to your resume, showcasing your ability to perform end-to-end data analytics tasks.