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In this Professional Certificate, learners developed essential knowledgeand skills to perform the many tasks in an entry-level data engineeringrole. By completing over a dozen courses in the program, the earnerof this Professional Certificate has demonstrated a firm grasp on andpractical experience with fundamentals of Relational Databases,Database Architecture, Design, & Administration, Data Warehousing,Querying databases with SQL and BI Tools, ETL with PythonProgramming language and Shell Scripts, NoSQL, and Big Dataprocessing using Apache Spark. Learners have applied all these skillsto complete a Capstone Project involving the design, deployment andmanagement of a complete data engineering platform inspired by areal-world data analytics requirements scenario.

In this program, learners developed and honed the essential skills fordesigning, loading, managing and querying relational databases anddata warehouses. Completers of this Certificate should be able to:Compose various types of SQL statements and queries to access andmanipulate data in databases; Deploy, Secure, Operationalize, Monitorand Optimize relational database systems like MySQL, PostgreSQL, andDB2; Build Data Pipelines to extract, transform and load datarepositories using shell scripts, and tools such as Apache Airflow &Kafka; Design and populate Data Warehouses and analyze their datawith Business Intelligence (BI) tools like Cognos Analytics. Thecertificate holder should now be ready to take on the challenges of anentry-level role in Data Warehouse Engineering.

In this Professional Certificate, learners developed and honed essentialknowledge and skills to enter today's dynamic cybersecurity workforce.Learners developed knowledge of cybersecurity analyst tools includingdata protection; endpoint protection; SIEM; and systems and networkfundamentals; acquired knowledge around key compliance and threatintelligence topics important in today’s cybersecurity landscape; gainedskills for incident responses and forensics. The learner’s knowledgeand skills were tested through multiple assessments throughout thecourses, a real-world breach case study and several hands on virtuallabs. The learner also achieved a passing score on a final assessmentcourse covering all content from the previous seven courses

Machine Learning is one of the most in-demand skills for jobs relatedto modern AI applications, a field in which hiring has grown 74%annually for the last four years (LinkedIn). This Professional Certificatefrom IBM provides evidence that the above named individualdeveloped skills in Machine Learning: Unsupervised Learning,Supervised Learning, Deep Learning, and Reinforcement Learning;including Time Series Analysis and Survival Analysis. This programconsisted of 6 courses providing a solid theoretical understanding andconsiderable practice of the main algorithms, uses, and best practicesrelated to Machine Learning.

Learners who have completed this 6 course Professional Certificatehave a practical understanding of Machine Learning (ML) & DeepLearning (DL). They have technical skills to start a career in AIEngineering, and can: • Implement ML algorithms includingClassification, Regression, Clustering, and Dimensional Reduction usingscipy & scikitlearn • Perform ML on Big Data and deploy ML Algorithmsand Pipelines on Apache Spark • Demonstrate understanding of DeepLearning models such as autoencoders, restricted Boltzmannmachines, convolutional networks, recursive neural networks, andrecurrent networks • Build deep learning models and neural networksusing Keras, PyTorch and Tensorflow libraries • Demonstrate ability topresent and communicate outcomes of deep learning projects.

In this Professional Certificate learners developed and honed handson skills in Data Science and Machine Learning. Learners started withan orientation of Data Science and its Methodology, became familiarand used a variety of data science tools, learned Python and SQL,performed Data Visualization and Analysis, and created MachineLearning models. In the process they completed several labs andassignments on the cloud including a Capstone Project at the end toapply and demonstrate their knowledge and skills.

At Smart Analyzers, we have data scientists, data analysts as well as actionable tools, latest techniques, technologies and mentors. More important is our passion, dedication, and potential to apply these together to make a difference to your business. Smart Analyzes is the unique combination of our expertise, our core values, our people and our rigorous focus on business outcomes. We are able to identify and address the key areas that impact performance and growth from analysis of historical data.

Google Project Management Certificate havecompleted six courses, developed by Google, that include hands-on,practice-based assessments and are designed to prepare them forintroductory-level roles in Project Management. They are competent ininitiating, planning and running both traditional and agile projects.

Google Data Analytics Professional Certificatehave completed eight courses, developed by Google, that includehands-on, practice-based assessments and are designed to preparethem for introductory-level roles in Data Analytics. They are competentin tools and platforms including spreadsheets, SQL, Tableau, and R.They know how to prepare, process, analyze, and share data forthoughtful action.

Represents a business comprising of one or more consultants that efficiently provide skilled advisory services. These services are aimed at supporting and advising a company to achieve their key objectives and maximize their performance capabilities through data-driven analysis.

The Society focuses on Scientific and Educational programs directed towards the development of theory and practice of Computer Science and Technology. The Chapter organizes many Technical and Fun Events, Seminars, Conferences, Regional as well as National Student Convention with the sole purpose of imbibing the very motto of "CREATE, SHARE and INNOVATE" among the students.