Our Online Programs
Data Analysis using MS Excel, Power Query & MS Access (DBMS)
Welcome to the "Data Analysis using MS Excel, Power Query & MS Access (DBMS)" course at Eswaram Infodemy360! Are you ready to harness the combined power of Microsoft Excel, Power Query, and MS Access to revolutionize your data analysis skills? In this comprehensive course, you'll delve into the world of data manipulation, transformation, and database management using industry-leading tools. Whether you're a beginner seeking to grasp the fundamentals or a seasoned professional aiming to enhance your expertise, our curriculum covers everything from basic data analysis techniques to advanced database operations. Learn how to efficiently import, clean, and analyze data using Excel and Power Query, and discover the power of MS Access for managing databases and creating relational models. Join us and embark on a journey to become a proficient data analyst with Microsoft's suite of tools! Course Modules Module 1: Introduction to Data Analysis - 1 Week Understanding the importance of data analysis in decision-making Overview of Microsoft Excel, Power Query, and MS Access Setting up the environment and understanding basic functionalities Module 2: Data Importation and Cleaning with Excel and Power Query - 1 Week Importing data from various sources into Excel Introduction to Power Query for data transformation and cleaning Cleaning and structuring data to prepare it for analysis Module 3: Data Analysis with Excel - 1 Week Exploring basic data analysis techniques in Excel (e.g., sorting, filtering, pivot tables) Performing statistical analysis using Excel functions Creating visualizations and charts to communicate insights effectively Module 4: Advanced Data Analysis Techniques with Excel - 1 Week Advanced data manipulation and analysis using array formulas Utilizing Excel's built-in data analysis tools (e.g., What-If Analysis, Solver) Introduction to Power Pivot for more sophisticated data modeling and analysis Module 5: Introduction to MS Access (DBMS) - 1 Week Understanding the role of MS Access in database management Creating and working with tables, queries, forms, and reports in MS Access Establishing relationships between database entities for efficient data management Module 6: Integrating Excel, Power Query, and MS Access - 1 Week Importing and exporting data between Excel, Power Query, and MS Access Leveraging Power Query to connect Excel and MS Access for seamless data analysis Automating data workflows and processes for increased efficiency Module 7: Advanced Database Operations with MS Access - 1 Week Advanced query techniques (e.g., parameter queries, SQL queries) Implementing data validation and integrity constraints Enhancing database performance and scalability Module 8: Real-world Case Studies and Projects - 1 Week Applying learned concepts and techniques to real-world scenarios Working on hands-on projects to reinforce understanding Presenting findings and insights from data analysis projects Training Mode : Online
Power BI for Analysis
Welcome to the Power BI for Analysis course at Eswaram Infodemy360! Are you ready to harness the full potential of Power BI to drive insightful analysis and visualization of your data? This course is meticulously crafted to equip you with the skills needed to leverage Power BI's robust capabilities for data analysis and visualization. Whether you're a beginner or an experienced professional, our comprehensive curriculum covers everything from data importation and transformation to creating interactive dashboards and reports. Dive into the world of Power Query, DAX formulas, and data modeling as you learn to extract meaningful insights and tell compelling stories with your data. Join us and unlock the power of data visualization with Power BI! Course Modules Module 1 – 3 week Introduction to Power BI Power BI Desktop Visualization Modelling with Power BI Viz and Tiles DAX Expressions Publishing & sharing Module 2 – 2 week Connect to data sources like Excel,CSV & Website Connecting to other Data sources in Microsoft Power BI Power Query Editor Create a Report with Visualization Training Mode : Online
Machine Learning using Python
Welcome to the Machine Learning Using Python course offered by Eswaram Infodemy360! Are you ready to dive into the exciting world of machine learning and unleash its potential using Python? This course is designed to equip you with the knowledge and skills needed to understand, implement, and apply various machine learning algorithms using Python programming language. Whether you're a novice eager to explore the basics or an experienced practitioner looking to deepen your understanding, our comprehensive curriculum covers key concepts such as regression, classification, clustering, and deep learning. You'll gain hands-on experience working with popular libraries like Scikit-learn, TensorFlow, and Keras, and learn how to build and evaluate machine learning models for real-world applications. Join us and embark on a transformative journey to become proficient in machine learning with Python! Course Modules Module 1 – 4 week Introduction to python Python for data analytics (Numpy & Pandas) Python for visualisation (Matplotlib & Seaborn) Module 2 – 4 week Introduction to Statistics for data analytics Descriptive statistics Exploratory Data Analytics Inferential statistics Hypothesis and ANOVA Module 3 – 4 week Introduction to Machine Learning Model Building basics Supervised and Unsupervised learning models Regression and Classification models Time Series Forecasting End to End case studies Training Mode : Online
Python for Data Analysis
Welcome to the Python for Data Analysis course offered by Eswaram Infodemy360 Academy! Are you ready to unleash the full potential of Python in analyzing and interpreting data? In this course, you'll embark on an exciting journey into the world of data science and analytics using Python, one of the most popular programming languages in the field. Whether you're a beginner eager to learn the basics or a seasoned professional looking to enhance your skills, our comprehensive curriculum covers everything from data manipulation and visualization to statistical analysis and machine learning. Get ready to dive deep into Python libraries like NumPy, Pandas, Matplotlib, and Seaborn, and gain hands-on experience through practical exercises and real-world projects. Join us and take your first step towards becoming a proficient data analyst with Python! Course Modules Module 1 – 1 week Introduction to Data analysis Data Classification How python used for data analysis Module 2 – 4 week Introduction to python Python for data analytics (Numpy & Pandas) Python for visualisation (Matplotlib & Seaborn) End to End case study Training Mode : Online
SQL for Data analysis
Welcome to the SQL Course at Eswaram Infodemy360 Academy! Are you ready to unlock the power of databases and revolutionize your data management skills? In this course, you'll embark on a journey into the world of Structured Query Language (SQL), the cornerstone of managing and manipulating data in relational databases. Whether you're a beginner looking to grasp the fundamentals or an experienced professional aiming to enhance your expertise, our comprehensive curriculum covers everything from basic queries to advanced database operations. Get ready to dive deep into SQL syntax, database design principles, and practical hands-on exercises that will equip you with the tools to confidently navigate databases and extract valuable insights. Join us and take your first step towards mastering the language of data! SQL, or Structured Query Language, is a powerful tool for data analysis that allows users to interact with relational databases. It provides a standardized way to retrieve, manipulate, and manage data stored in databases, making it an essential skill for anyone working with data. SQL enables users to write queries to extract specific information from databases, perform calculations, filter data, join multiple tables together, and aggregate data to generate meaningful insights. Its simplicity, flexibility, and widespread adoption across various database management systems make SQL a fundamental language for data analysts, providing them with the means to efficiently analyze and interpret data to drive informed decision-making. Course Modules Module 1 - 2 days Introduction To Data Analysis Application Of SQL In Data Analysis Types Of SQL Language and Overview Introduction to DBMS and RDBMS Overview of RDBMS Module 2 – 1 week Different types of RDBMS How to Install SQL Workbench Overview Of SQL Work Bench Types Of SQL Language SQL Data Types SQL Operators Basic SQL Commands Practice SQL Command Using Sample Data Set Module 3 – 1 week Intermediate SQL Commands SQL Joins SQL Sub Queries Windows Function Import Bulk Data Into SQL Practice SQL with sample dataset Training Mode: Online
Prompt Engineering
Welcome to the cutting-edge course on Prompt Engineering offered by Eswaram Infodemy360 Academy! In an era dominated by artificial intelligence and machine learning, the ability to craft effective prompts is becoming increasingly crucial. Prompt engineering is a dynamic field that combines elements of linguistics, psychology, and computer science to create prompts that elicit desired responses from AI systems. Whether you're a seasoned AI practitioner or a newcomer to the field, this course will equip you with the essential skills needed to craft prompts that optimize model performance and achieve desired outcomes. Throughout this course, you will delve into the fundamental principles of prompt engineering, exploring topics such as: Understanding Prompt Types: Learn about the various types of prompts, including classification prompts, generation prompts, and fine-tuning prompts. Understand when and how to use each type effectively. Linguistic Analysis: Gain insight into the nuances of language and how different linguistic constructs can influence AI model behavior. Explore techniques for analyzing prompts to identify potential biases or ambiguities. Psychological Considerations: Explore the psychological principles underlying human-AI interaction. Learn how factors such as framing, priming, and context can impact the effectiveness of prompts. Optimization Strategies: Discover strategies for optimizing prompts to improve model performance and enhance task completion rates. Explore techniques such as prompt expansion, paraphrasing, and context augmentation. Ethical Implications: Consider the ethical implications of prompt engineering, including issues related to bias, fairness, and transparency. Learn how to mitigate bias in prompts and promote responsible AI development. Practical Applications: Apply your knowledge of prompt engineering to real-world scenarios across various domains, including natural language processing, image recognition, and recommendation systems. By the end of this course, you will have the skills and expertise to design prompts that effectively guide AI systems toward desired outcomes. Whether you're working on research projects, developing AI applications, or simply curious about the inner workings of AI, this course will provide you with invaluable insights into the art and science of prompt engineering. Get ready & Join us to unlock the full potential of AI with Prompt Engineering at Infodemy360 Academy! Course Modules Module - 1 Intro to AI and basics Module - 2 Prompt Engineering Overview Module - 3 Types of Prompts and the process of creation Module - 4 Evaluation of the responses Module - 5 Use cases and Scope Training Mode: Online
Python for Data Analysis
Welcome to the Python for Data Analysis course offered by Eswaram Infodemy360 Academy! Are you ready to unleash the full potential of Python in analyzing and interpreting data? In this course, you'll embark on an exciting journey into the world of data science and analytics using Python, one of the most popular programming languages in the field. Whether you're a beginner eager to learn the basics or a seasoned professional looking to enhance your skills, our comprehensive curriculum covers everything from data manipulation and visualization to statistical analysis and machine learning. Get ready to dive deep into Python libraries like NumPy, Pandas, Matplotlib, and Seaborn, and gain hands-on experience through practical exercises and real-world projects. Join us and take your first step towards becoming a proficient data analyst with Python! Course Modules Module 1 – 1 week Introduction to Data analysis Data Classification How python used for data analysis Module 2 – 4 week Introduction to python Python for data analytics (Numpy & Pandas) Python for visualisation (Matplotlib & Seaborn) End to End case study Training Mode : Online
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