What you'll learn
Understand the core concepts and functionalities of Power BI.
Learn how to connect Power BI to various data sources, including databases, cloud services, and files.
Master the use of Power Query for cleaning, transforming, and preparing data for analysis.
Develop skills in modelling data, including creating calculated columns, measures, and tables.
Gain insights into managing and understanding relationships between different data sets within Power BI.
Learn to create compelling visualizations and reports that effectively communicate data insights.
Discover how to publish reports to the Power BI Service for sharing and collaboration.
Apply your knowledge in a real-world scenario through a small project that involves a use case, reinforcing your learning experience.
What you'll learn
Gain a solid foundation in the principles of relational databases.
Learn how to create and manage databases.
Master DDL commands with practical examples to create and modify database structures.
Master the different types of joins (Left Outer, Right Outer, Inner, Full Outer, and Self Joins) to combine data from multiple tables.
Understand DCL for managing access to the database.
Explore how to manage transactions within a database.
Learn to retrieve data using various SQL queries.
Learn how to use DML commands to manipulate data within the database.
Learn to create summaries and perform calculations using SQL aggregate functions.
Understand and apply advanced SQL window functions.
Apply your knowledge through a small project involving a real-world case study.
What you'll learn
Get acquainted with Python’s syntax and basic constructs, including input/output operations and operators.
Learn about different data types such as strings, lists, tuples, sets, and dictionaries, and understand how to perform various operations on them.
Apply regex to search, match, and manipulate text data effectively.
Master the use of lists, tuples, sets, and dictionaries for efficient data handling.
Work with data in tabular form using DataFrames, a key component for data manipulation and analysis.
Implement control flow mechanisms such as loops and conditionals to manage the flow of your Python programs.
Create reusable code blocks with functions, and understand how to manage function parameters and return values.
Practice data concatenation, merging, and type conversion to prepare and clean your data for analysis.
Integrate Python with SQL to perform database operations, including querying and updating databases.
Develop practical skills by working on a small project that incorporates a case study, allowing you to apply your knowledge to solve real-world problems.
What you'll learn
Master measures of central tendency, dispersion, skewness, and kurtosis to effectively describe and summarize data. Utilize probability and probability distributions to make informed decisions.
Learn to use techniques such as Principal Component Analysis, Hierarchical and Non-Hierarchical Clustering, Logistic Regression, K-Nearest Neighbors, Support Vector Machines, Naïve Bayes, Random Forests, Decision Trees, Gradient Boosting, and XGBoost.
Gain insights into Markov Chains, Extended Markov Chains, and Bellman’s Equation to understand reinforcement learning concepts.
Analyze relationships between variables and predict outcomes using various regression techniques.
Develop and apply Artificial Neural Networks, Recurrent Neural Networks, and Convolutional Neural Networks for tasks like image detection and analysis.
Employ techniques such as Bag of Words, TF-IDF, Word Embedding, and Sentiment Analysis to analyze and interpret text data.
Learn to build and deploy machine learning applications using frameworks such as Django, Flask, BentoML, and FastAPI.
Design and implement recommendation systems using Next Best Offer Product Recommendations, Collaborative Filtering, and Content-Based Filtering.
Certificate in Digital Marketing
The Digital Marketing Certificate Course provides an extensive overview of …
What you'll learn
Understand the customer journey and the marketing funnel.
Develop effective digital marketing and e-commerce strategies.
Master tools for measuring performance success.
Explore topics like search engine optimization (SEO), search engine marketing (SEM), display advertising, and social media engagement.
BCA (Data Science & AI)
The Bachelor of Computer Application (BCA) with Specialization in Data …
What you'll learn
Computer Application Knowledge: Apply mathematical and computing fundamentals to address real-life applications effectively.
Problem Analysis: Transform complex business scenarios into manageable problems, investigate and propose integrated technological solutions.
Design/Development of Solutions: Create applications tailored to specific societal and environmental needs.
Conduct Investigations of Complex Computing Problems: Design and conduct experiments, interpret data, and provide informed conclusions.
Modern Tool Usage: Efficiently integrate and apply contemporary IT tools across various computer applications.
Perennial Learning: Engage in lifelong learning for continuous career development in the field of computer science.
Individual and Team Work: Demonstrate effective leadership and teamwork skills in multidisciplinary projects.
Project Management: Lead and manage multidisciplinary projects competently.
Business Intelligence
This course provides a comprehensive introduction to Business Intelligence (BI) …
What you'll learn
Explain the core concepts of Business Intelligence and its benefits for businesses.
Utilize data gathering and wrangling techniques to extract and prepare data for analysis.
Apply data mining and visualization tools to uncover hidden patterns and trends in data.
Communicate complex data insights in a clear and concise manner to both technical and non-technical audiences.
Develop a practical understanding of how to apply BI techniques to solve business challenges.
What you'll learn
Learn the basic operations and functionalities of Microsoft Word, Excel, PowerPoint, and Outlook.
Acquire essential skills to perform day-to-day tasks efficiently using Microsoft Office applications.
Gain fundamental knowledge and techniques necessary to navigate and utilize Office features effectively.
Develop proficiency in creating and formatting documents, spreadsheets, presentations, and emails.
Explore advanced features such as document protection and the usage of ligatures to enhance document aesthetics.
Enhance your productivity and streamline workflow processes through the effective use of Microsoft Office tools.