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The demand for skilled data scientists is soaring in today's data-driven world. And with our Limited-Time Special Offer, you can embark on this journey without breaking the bank! 

Our recently launched bundle, The Complete Data Science Mastery, is all you need to open doors of opportunities in the data science field. With the 15 expertly curated bundle courses, you'll build skills in statistics, data wrangling, data visualization, machine learning, programming, and more.  

And the best part? The bundle, originally valued at $399, is now available for just $24.99! You can also get any of these courses for just $6.99 each if you prefer to focus on specific skills.  

But don't wait: this offer won't last long! 

“This course gave me a better understanding of the tools used in data analysis and how to use them.”  

- Brandon F.  

“The concepts in pandas and NumPy in this course really got me enthralled.”   

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“This course helped me to comprehend how to visualize data.”   

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“This course is beneficial and another step towards my career advancement.”  

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“This course helped me to achieve basic understanding of Python for data analysis.”   

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"The course covered a wide area and various topics relative to my job role."   

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$399  $24.99 

One-Time Payment

access to 15 in-demand data science courses 

60 hours of premium practical learning 

a validation of course completion after completing each course    

year-long access to courses   

access to content updates and premium support for 1 year   

Computational Mathematics for Data Science  

Master the core concepts in statistics and probability, descriptive statistics, hypothesis testing, regression analysis, analysis of variance, and some advanced regression/machine learning methods required in data science or data analysis.  

Introduction to R Programming  

Learn the basics of R programming to begin your career in data science. This course covers the introduction of R and its installation, the fundamentals of R, data frames, how to construct data frames, string manipulation functions, how to connect to databases, and more.  

Data Science for Beginners  

Master data science basics with this hands-on course. This course introduces data science and the various terminologies involved, the history of Python Language, the basics of the language, and Excel for data science and predictive analysis.  

Data Analysis with Python Masterclass - Part 2  

Get ready to tackle real-life data analysis assignments and fast-track your career with this comprehensive course. You'll learn to perform data analysis with the DA framework, key Python takeaways, and more.  

Data Analysis with Python Masterclass - Part 1  

Master the art of coding in Jupyter Notebook. Gain a solid understanding of data wrangling and data visualization. You'll also learn how data analytics can help sort modern data problems, work with NumPy and Pandas, and more.  

Data Wrangling with Pandas - Part 1  

Learn about the history of python, basic syntaxes, commands, and variables included in python, and how to work with Jupyter Notebook. Also, discover about NumPy, Nd-arrays, data visualization techniques, the basics of Pandas, Pandas CSV, and JSON Object.  

Data Wrangling with Pandas - Part 2  

Gain a good command of Pandas, visualizing data with it, and various operations such as join, group by, and merge on the index. With this course, you will also gain a good knowledge of data visualization with Matplotlib and Seaborn.  

An Introduction to Scikit-Learn  

Get familiar with Scikit-Learn, one of the most important modelling packages in Python. You'll learn to preprocess data and use Sklearn to run a series of models, including Regressions, Support Vector Machines, Neural Networks, and Hierarchical Clustering methods.    

Statistics Fundamentals: Bundled  

Learn the basics of statistics and Python coding for statistical analysis. You'll understand how to use statistical methods to obtain insights from data to answer various questions and make decisions. You'll also learn about descriptive statistics, sampling, and ANOVA.  

Data Analysis With R Masterclass  

Learn to use the R programming language for data analysis. This comprehensive course has enough sample codes and tutorials to help you get acquainted with the analysis operations used by data/business analysts daily.  

Advanced Machine Learning for Business Professionals  

Learn how machine learning and AI can add value to your organization. This comprehensive course covers the concept of ML, all the benefits of using ML, and how ML projects can be implemented in your business.  

Applied Logistic Regression  

Gain a thorough understanding of logistic regression and be able to build, train, and test logistic regression models. This hands-on course is a data-driven approach to classification. It also covers tips and tricks for effective modeling and alternative algorithms for classification.  

Advanced Deep Learning – Part 1  

Master the sequential modeling behind Deep Learning. Instead of learning different models, you will master in-depth mathematical intuition while implementing different algorithms with this hands-on course.  

Advanced Deep Learning – Part 2  

Master the architecture and mathematics behind YOLO. You’ll know about object detection models, how to label your data, and how to train your custom object detection model using YOLO.  

Hands-on Natural Language Processing (NLP) using Python  

Learn how to analyze text data using machine learning. You'll learn to work on a Sentiment Analysis Model using NLTK and Scikit-learn and predict emotions from an input text. Get ready to gain expertise in training a machine to read and understand human language.