Data Analytics Course

Data Analytics Course Program Highlights

• Introduction to Data Analytics: Overview, Importance, and Basic Concepts.
• Statistics Analysis: Tools for summarizing and interpreting data, such as descriptive statistics or inferential methods.
• Data Visualization: Tools and principles to effectively present data through graphs, charts, or dashboards.
• Data Mining: Techniques for finding patterns and relationships within large datasets using algorithms and statistical techniques.
• Machine Learning: Introduction to algorithms and models for predictive analytics and pattern recognition.
• Database Administration: Skills needed for organizing, storing, and retrieving information using relational databases and SQL.
• Big Data Technologies: Here is an overview of technologies and platforms for processing large data volumes.
• Ethics and Privacy: Considerations when managing sensitive data ethically and legally.
• Case Studies and Projects: Practical applications of data analytics techniques applied directly to real-world problems through individual or collaborative projects.
• Industry Applications: Exploration of how data analytics is employed across various fields such as finance, healthcare, and marketing.
• Emerging Trends in Data Analytics: Analysing new developments and trends in data analytics such as AI-powered or IoT data analytics.
• Capstone Project: Concluding project in which students apply all learned data analytics skills to solve a vital data analytics challenge or issue.

About Data Analytics

The Data Analytics course offered by the Academy of Success aims to equip participants with all the skills and knowledge required to excel in the rapidly expanding data analytics industry. AOS is one of the premier institutes offering courses related to this sector with industry-relevant curriculums taught by expert faculty.

Participants begin by mastering foundational concepts of data analytics, such as types and sources, lifecycle, and advanced statistical techniques, and then apply both descriptive and inferential statistics techniques for data analysis to gain meaningful insight.

Practical skills in data wrangling and preprocessing will be emphasized during this workshop, teaching participants to effectively clean, transform, and prepare data for analysis using tools such as Python, R, SQL Server, or Tableau. Gaining such hands-on experience ensures efficient visualization and clear communication of findings from this training course to stakeholders.

This course covers predictive analytics and machine learning techniques for participants to build and evaluate predictive models using real-world datasets. Through practical projects and case studies, they gain experience applying these techniques to solve complex business issues while streamlining decision-making processes.

Ethics are at the core of AOS' curriculum for data analytics training courses. Participants learn about privacy regulations, ethical data practices, and upholding data security and integrity while conducting analyses.

AOS offers comprehensive career support beyond technical skills development. This includes workshops on resume building and interview preparation, networking events with industry professionals, and support to prepare graduates to begin successful careers as data analysts, data scientists, or business intelligence specialists in different sectors.

Overall, the Academy of Success's Data Analytics course blends theoretical understanding with practical application, equipping participants to effectively utilize data in our increasingly data-driven world and contribute to organizational success in this increasingly informational sphere.

Eligibility

• 12th pass
• Basic Computer Knowledge

Exam Details

• Offline/Online Mode

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