
Great Learning brings you this video on “PowerBI Tutorial for Beginners” to help you set the right foot on starting out with Power BI. This video gives you a thorough insight into business intelligence, data visualization and data visualization tools.

Comprehensive SQL tutorial covering installation, DBMS concepts, key functions, and practical demonstrations. Ideal for beginners seeking to master database management and manipulation.

Learn Pandas for efficient data manipulation and analysis in Python, covering series, dataframes, indexing, and essential functions for data science projects.

Learn market basket analysis, Apriori algorithm, sales prediction, text analysis, and sentiment analysis for business intelligence. Gain practical skills in data-driven decision-making and customer behavior prediction.

This Unsupervised Learning Tutorial will introduce you to the nitty gritty of Machine Learning and How Unsupervised Algorithms Work.

Learn key statistical concepts including central tendency, dispersion, data types, and their applications. Gain practical insights through a telecom case study and master essential statistical techniques.

This 'Decision Tree in Data Mining' video will help you to comprehensively learn all the concepts of decision tree such as Impurity, Gini index, and pruning.

In this 'Spark Tutorial' you will comprehensively learn all the major concepts of Spark such as Spark RDD, Dataframes, Spark SQL and Spark Streaming.

This “Linear Regression” Tutorial by Great Learning would help you to comprehensively learn all the underlying concepts of Linear Regression.

Learn effective social media marketing strategies, from personalization to community building, analytics, and advertising, to enhance your brand's online presence and engage with your audience.

Enhance Excel proficiency with time-saving tips and tricks for data analysis, visualization, and efficient spreadsheet management. Learn essential features to boost productivity.

Learn to create, customize, and utilize Pivot Tables in Excel for efficient data summarization and analysis. Master various tools and techniques for powerful data insights.

Master Python Pandas for data manipulation and analysis. Learn DataFrames, Series, indexing, and aggregation operations to efficiently handle numerical tables and time series data.

Comprehensive introduction to data science, covering statistics, Python, machine learning, databases, exploratory analysis, visualization, deep learning, and neural networks with practical examples.

Comprehensive introduction to big data analytics, covering key concepts like Hadoop, Apache Spark, and ETL. Ideal for beginners seeking to understand the landscape and value chain of big data.

Learn to create interactive visualizations and dashboards using Tableau. Master data interpretation, business intelligence concepts, and various visualization techniques for effective data-driven decision-making.

Comprehensive tutorial on marketing analytics, covering RFM analysis, clustering, churn prediction, market basket analysis, and CLV modeling using tools like Tableau and KNIME.

Learn to enhance Excel data visualization with conditional formatting, including color scales, data bars, and icon sets. Master techniques for highlighting cells based on specific conditions.

Learn to create and analyze frequency distributions, including types, tables, and Excel implementation. Gain practical skills for data representation and interpretation.

Learn to extract web data efficiently using Python's Beautiful Soup library. Covers request module, library basics, and hands-on project for practical web scraping skills.

Explore multivariate analysis techniques for data-driven decision-making. Learn foundational concepts, practical implementation in Python, and applications across various domains.