
In this tutorial, we have covered all the important topics such as, What is Python, Data Manipulation with Numpy and Pandas, Data Visualization with Python, and much more, that will help you to get started with it.

Comprehensive SQL tutorial covering database fundamentals, data manipulation, joins, subqueries, and advanced functions for beginners seeking to master relational database management.

Learn to build deep learning models using Keras and TensorFlow in Python. Covers data preparation, neural network construction, and practical implementation with hands-on examples.

This "Clustering in Data Mining" tutorial will help you to comprehensively learn all the concepts related to clustering algorithms.

Comprehensive tutorial on linear regression, covering simple and multiple regression with Excel and Python implementations. Includes step-by-step examples and practical applications in data analysis.

Apache Spark Streaming is a scalable fault-tolerant streaming processing system that natively supports both batch and streaming workloads. This video will help you to understand every aspect of Spark Streaming along with the examples and visuals for bett…

Explore stochastic gradient descent, its advantages, and implementation. Learn about mini-batches, momentum, and convergence in this optimization algorithm for machine learning models.

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.

This video teaches DevOps and its key functions and concepts by carrying out simultaneous demonstrations and examples to help you get started on the right foot.

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

Comprehensive 12-hour course covering essential statistics concepts for data science, from basics to advanced topics. Taught by Stanford PhD, includes practical applications and business problem-solving.

Learn to create statistical graphics in Python using Seaborn. Master line plots, bar plots, scatterplots, histograms, joint plots, and box plots for effective data visualization and analysis.

Comprehensive introduction to MySQL covering installation, data types, and various SQL commands with practical demonstrations for beginners to manage and manipulate databases effectively.

Learn data visualization with Matplotlib in Python. Master various plot types including line, bar, scatter, histogram, and pie charts to effectively represent and analyze data.

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

Comprehensive tutorial on NumPy library for Python, covering array creation, manipulation, mathematical operations, and matrix handling. Ideal for beginners seeking to enhance data processing skills.

Support Vector Machines have various applications such as they can be used in classification of images, in handwritten character recognition, classification of satellite SAR data. Learn about SVM in this video by Great Learning.

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.

Comprehensive tutorial on the Apriori algorithm in data mining, covering its importance, application in association rule mining, and implementation, with a focus on conjoint analysis and market basket analysis.

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.