Unlock the power of data-driven insights with our Course on Data Analytics program. Designed to meet the industry's growing need for expert analysts, our comprehensive courses in Data Visualization, Statistical Analysis, Data Mining, and Business Intelligence with Power BI equip you with the skills to drive informed decision-making, optimize business processes, and uncover new opportunities.
This Master Certificate in Data Analytics is designed to equip you with the expertise needed to succeed in the fast-paced world of data analysis. Through comprehensive training and practical experience, we empower you to extract valuable insights from data, drive informed decision-making, and thrive in data-driven roles. By aligning our curriculum with industry demands, we bridge the gap between your current skill set and the competencies required to excel as a Data Analytics professional with skills like Collect, analyze, and interpret complex data sets, Identify trends, patterns, and correlations, Develop data visualizations and reports to communicate insights, Drive business growth through data-driven decision-making.
Program Duration
Accredited by
Flexible Learning
Project-based Assessment
Placement Support
Advance Features Analytics using Python Algorithms Basics and Syntax Data Structures and Types Fundamental Features IntroductionAdvance Algorithms Big Data and Genetic Classification Algorithms Introduction to Machine Learning Regression Algorithms Power BI Introduction and Installation Maps in Power BI and RDMBS Table and Matrix in Power BI Other Charts in Power Bi Cards and Filters in Power BI Slicers in power BI Advanced Charts in Power BIIntroduction to SQL Introduction to Database SQL Database SQL Constraints SQL Operators SQL Datatypes SQL FunctionsData analytics is one of the most dynamic fields in the tech industry, with a wide range of career opportunities across sectors like healthcare, finance, retail, marketing, and technology. The demand for data-driven decision-making has significantly increased, making data analytics a key business function.The explosion of data from various sources (e.g., IoT, social media, business operations) has led organizations to seek skilled data professionals who can analyze data and provide actionable insights.
AI and Automation: Increasing use of AI tools to automate data analytics processes, leading to new roles like AI-driven analytics or automation specialists..
Big Data Analytics: Handling large-scale data through distributed systems like Hadoop and Spark will continue to create high-paying roles.
Data Ethics and Privacy: With the rising concerns around data privacy, roles focused on ethical data usage and compliance (e.g., data governance officers) are expected to grow.