
Learn how to read data, process it, visualize and create reports. We also have our primary focus on Python to help you have your biggest leap into Data Science.

This video teaches Data Science and its key functions and concepts with a variety of demonstrations & examples to help you get started on the right foot.

This video teaches Python and its key functions and concepts with a variety of demonstrations and examples to help you get started on the right foot.

Learn to create volcano plots and heatmaps in R for bioinformatics analysis. Reproduce Galaxy tutorials and master essential data visualization techniques for beginners.

Learn to create impactful volcano plots and heatmaps for bioinformatics using R, with step-by-step guidance on reproducing Galaxy tutorials and utilizing the pheatmap package.

Learn essential techniques for analyzing gene expression data, including RNA-Seq pipelines, volcano plots, heatmaps, and RNAseq data analysis using R and Python.

Explore genome visualization techniques using tools like BRIG, CGView, Artemis, and Python. Learn to create volcano plots, analyze pangenomes, and generate heatmaps for bioinformatics research.

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.

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.

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.

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.

From Google’s Self Driving Car to Apple’s Siri, all of these are applications of Deep Learning. So, keeping in mind, the importance of deep learning, we have come up with this full course on ‘Deep Learning’.

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.

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

Comprehensive guide to Python analytics libraries: Numpy, Pandas, Matplotlib, and Seaborn. Includes hands-on projects, interview prep, and practical applications for data analysis and visualization.

Comprehensive tutorial on deep learning with Python, covering essential libraries, machine learning concepts, neural networks, and computer vision with practical demonstrations and examples.

Comprehensive guide to Microsoft PowerPoint, covering basics to advanced features. Learn to create engaging presentations with animations, SmartArt, charts, and data visualization techniques.

Learn Python libraries, machine learning concepts, regression techniques, Naive Bayes, and deep learning fundamentals. Gain practical skills through demonstrations and examples to kickstart your machine learning journey.

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.