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The Data Analytics Overview session offers participants a comprehensive introduction to the principles and practices of data analytics. Over two hours, attendees will learn about the core concepts of data collection, processing, and analysis, as well as different data types and sources. The session covers essential analysis techniques, including descriptive, predictive, and prescriptive analytics, and introduces popular tools and technologies used for data analysis and visualization.

Participants will also explore data cleaning and preparation methods, practical applications of analytics across various industries, and current trends shaping the field. With a focus on real-world examples and interactive discussions, the session equips attendees with a foundational understanding of data analytics and prepares them for further exploration or application in their careers.

Venue: College Campus or or Corporates Campus or Artz Academy Premises

Duration: 2 Hours

Date & Time: Please check on "Program Schedules" link and you can register yourself when this course dates announced

Audience: Final-year students or recent graduates from Engineering or Arts & Science colleges with a Computer Science background, as well as IT professionals

Fees: FREE

• Introduction to Data Analytics: Understanding the core concepts of data analytics, including data collection, processing, and analysis.
• Data Types and Sources: Overview of different types of data (structured, unstructured) and common data sources used in analytics.
• Descriptive Analytics: Techniques for summarizing and describing historical data to uncover patterns and trends.
• Predictive Analytics: Introduction to methods for forecasting future trends based on historical data using statistical and machine learning techniques.
• Prescriptive Analytics: Basics of recommending actions based on data analysis to optimize decision-making.
• Analytics Tools: Overview of popular data analytics tools and platforms, such as Excel, SQL, R, Python, and data visualization tools like Tableau and Power BI.
• Data Visualization: Techniques for visualizing data through charts, graphs, and dashboards to make insights more accessible and actionable.
• Data Preprocessing: Introduction to methods for cleaning and preparing data for analysis, including handling missing values, outliers, and data transformation.
• Case Studies: Examples of real-world applications of data analytics in various industries, such as healthcare, finance, and retail.
• Emerging Trends: Insights into current trends in data analytics, including big data, artificial intelligence, and the increasing importance of data-driven decision-making.
• Career Opportunities: Overview of career paths and opportunities in the field of data analytics.

This program will be delivered by the founding members of Artz Academy. They brings over 25 years of extensive experience in the IT industry. His deep industry knowledge, coupled with decades of hands-on experience, ensures that participants will receive invaluable insights and guidance directly from seasoned professionals who have successfully navigated and shaped the tech landscape.

This program is offered through various flexible formats to suit your needs, including on-campus programs, Corporates Campus, in-person sessions at Artz Academy or our affiliated organization’s premises, and convenient online options. To stay informed about upcoming course schedules, you can regularly check the 'Program Schedules' page on our website. Additionally, if you've subscribed to our mailing list, our HR team will proactively keep you updated with the latest course dates and other relevant information.