Data Science for Beginners - Learn Data Science in 9 Hours
This tutorial on "Data Science for Beginners" would help you to comprehensively master all the concepts of Data Science.
R Programming for Beginners - R Programming for Data Science
Comprehensive introduction to R programming, covering basics to advanced topics like data manipulation and visualization. Includes hands-on practice with a Pokemon dataset case study.
Decision Tree in Data Mining and Machine Learning - Algorithm Tutorial
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.
Apache Spark Full Course - Learn Apache Spark 2020
In this 'Spark Tutorial' you will comprehensively learn all the major concepts of Spark such as Spark RDD, Dataframes, Spark SQL and Spark Streaming.
Big Data Analytics Tutorial for Beginners
This session on 'Big Data Tutorial' will help you to master all the concepts of Big Data Analytics such as Big Data Ecosystem, Hadoop and NoSQL Databases.
Probability and Statistics - Bayes Theorem Probability - Normal Distribution Probability
Probability Theory and Statistics are very essential when it comes to data science or predictive modeling as they form the basis for decision making. Thus it becomes, extremely important for a data scientist to be good with probability.
Deep Learning Full Course - Complete Deep Learning for Beginners
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’.
Linear Regression Full Course
This “Linear Regression” Tutorial by Great Learning would help you to comprehensively learn all the underlying concepts of Linear Regression.
Social Media Marketing
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.
Excel Tips and Tricks
Enhance Excel proficiency with time-saving tips and tricks for data analysis, visualization, and efficient spreadsheet management. Learn essential features to boost productivity.
Machine Learning Applications
Explore text mining applications in machine learning, covering techniques, challenges, transformations, and model building using logistic regression and TF-IDF for practical implementation.
Pivot Table in Excel
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.
Python Pandas Tutorial
Master Python Pandas for data manipulation and analysis. Learn DataFrames, Series, indexing, and aggregation operations to efficiently handle numerical tables and time series data.
Data Science with Python Full Course
Comprehensive introduction to data science, covering statistics, Python, machine learning, databases, exploratory analysis, visualization, deep learning, and neural networks with practical examples.
Python for Analytics - Numpy, Pandas, Matplotlib, Seaborn
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.
Deep Learning Tutorial with Python
Comprehensive tutorial on deep learning with Python, covering essential libraries, machine learning concepts, neural networks, and computer vision with practical demonstrations and examples.
Beginner's Guide to Microsoft PowerPoint
Comprehensive guide to Microsoft PowerPoint, covering basics to advanced features. Learn to create engaging presentations with animations, SmartArt, charts, and data visualization techniques.
Machine Learning with Python for Beginners
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.
Big Data Analytics for Beginners
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.
Data Visualization with Tableau
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.
Marketing & Retail Analytics
Comprehensive tutorial on marketing analytics, covering RFM analysis, clustering, churn prediction, market basket analysis, and CLV modeling using tools like Tableau and KNIME.