
Learn UiPath RPA basics, including installation, PDF data extraction, loops, conditional statements, and data loading automation. Gain skills for UiPath certification and practical RPA implementation.

Master Robotic Process Automation with UiPath through hands-on training. Learn to automate business processes, increase efficiency, and gain valuable skills for the modern workplace.

Explore graph databases in healthcare and life sciences, covering data science, knowledge graphs, drug discovery, clinical proteomics, and more for innovative research and decision-making.

Learn Neo4j for data science: connect to databases, use Python drivers, write Cypher queries, import data, perform graph analytics, and compare with SQL databases.

In this course, you will learn all about CAT preparation. Common Admission Test - CAT is the largest national level entrance test for MBA admission in IIMs and other top MBA colleges in India.

In this course, you will learn all about CAT preparation. Common Admission Test - CAT is the largest national level entrance test for MBA admission in IIMs and other top MBA colleges in India.

Learn to create and customize various data visualizations using Python's Matplotlib library, from basic plots to real-time data representation and subplots.

Learn to create diverse, professional-looking visualizations using Matplotlib, from installation to advanced techniques like annotations and style sheets.

Learn essential NumPy concepts for Python, including array creation, manipulation, and operations. Master multi-dimensional arrays, reshaping, and slicing techniques for efficient data handling.

Master NumPy for data science: arrays, indexing, computation, visualization, and statistical analysis. Hands-on practice with Python 3 and Jupyter Notebook for real-world applications.

Learn data analytics using Python, covering preprocessing, visualization, machine learning algorithms, and practical examples. Gain skills to analyze datasets, make predictions, and compete on Kaggle.

Learn to create interactive data visualization interfaces using Dash and Python, covering dynamic graphs, live updates, sentiment analysis, and app deployment for effective data presentation.

Comprehensive big data project integrating Apache Spark, Hadoop, Kafka, and Python for end-to-end development, including streaming, REST API, and dashboard creation.

Learn to create interactive dashboards using Dash Bootstrap, covering styling, components, and advanced features for data visualization and user interaction.

Explore Plotly Dash components for interactive data visualization. Learn to create dropdowns, sliders, graphs, and more for building dynamic web applications with Python.

Learn data analysis with Python's Pandas library. Covers DataFrame basics, data handling, grouping, merging, pivoting, time series analysis, and memory optimization for large datasets.

Comprehensive guide to data analysis with Pandas: from basics to advanced techniques, covering installation, data manipulation, filtering, sorting, and working with various data sources.

Comprehensive Python Pandas and data visualization course for CBSE Class 12 I.P., covering series, dataframes, matplotlib, SQL, and network concepts.

Master Python Pandas for data analysis: filtering, sorting, aggregating, and visualizing data. Learn to handle missing values, create pivot tables, and work with various data formats.

Learn to manipulate and analyze time series data using Python Pandas, covering DatetimeIndex, resampling, date ranges, holidays, datetime conversion, periods, timezones, and shifting techniques.

Learn D3.js basics: selecting elements, appending to the page, joining data, and controlling SVG shapes dynamically. Covers SVG fundamentals and data handling in D3.