An unmissable opportunity to earn your data science certificate
Imagine this: you are given the opportunity to take a online data science course cost free. And as the icing on a delicious offer, You will even get a certificate upon completion of the course!
Therefore, not only can you beautify your burgeoning data science skill set, but you also get a certificate proving your achievements. It sounds too good to be true?
Good, DataPeaker will make this a reality in 2020. One of the most demanded features of our community, since we launched our popular course platform, has been providing certificates for our free courses.
We hear you!
We are delighted to announce FOUR free certified courses on various data science and machine learning concepts, Just for our community!
During these uncertain times, we've seen more people flock to data science as a career option. And we want to help.
The 4 free certified courses are:
Drum roll please! And here we go:
- Introduction to Python
- Introduction to decision trees
- Introduction to neural networks
- Introduction to natural language processing (PNL)
That's how it is, we offer four general themes to our community. These topics range from learning a new programming language (Python), a popular machine learning algorithm (decision trees), a core concept of deep learning (neural networks) and a prosperous field (PNL).
the Free courses with certification are video lessons with extensive exercises and a final skills assessment to verify your eligibility to offer you the Free Certificate. Students must complete all lessons and pass the final assessment with a 60% or more than qualifications to be eligible for certification.
Let's explore each course in detail to understand the topics covered.
Course # 1: Introduction to Python
Python is the most popular programming language for data science. Its simple syntax is easy to use and can perform all tasks, from data cleansing to data modeling, without having to write complex codes.
This course will help you learn and understand:
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- Data analysis basics, data structure, dictionaries
- Python libraries like Pandas and use them efficiently for data science and data analysis
- Dataframes and Basic Operations in Python
- Data manipulation and visualization in Python
- Regular expressions (RegEx), and much more!
Are you ready to jump-start your career and learn the best data science language??
Course # 2: Introduction to neural networks
This free DataPeaker course will give you an idea of what a neural network is, how does it work, what are the basic components of a neural network and where can you use neural networks. The perfect course for beginners in deep learning!
The course will help you learn:
- Introduction to neural networks
- Trigger functions
- Loss function
- Neural networks in structured data
- Sales prediction
- Deep learning use cases in the real world
Course # 3: Introduction to decision trees
The decision tree algorithm is one of the most powerful algorithms in machine learning. Decision trees are used by both beginners and experts to create machine learning models. This course provides you with all about decision trees and their Python implementation..
This free course will cover the following topics:
- Introduction to the decision tree
- Purity in decision trees
- Decision tree terminologies
- How to select the best split point in decision trees
- Chi squared
- Information gain
- Variance reduction
- Decision tree performance optimization
- Decision tree implementation
Course # 4: Introduction to natural language processing (PNL)
Natural language processing (PNL) is the art of extracting information from unstructured text. This course teaches you the basics of NLP, regular expressions and text preprocessing.
Natural language processing (NLP) today drives many key real-life industry applications, What:
- Language translation
- Dialogue systems / Chatbots
- Sentiment analysis
- Text summarizers
- Speech recognition
- Auto correction
This free course will cover the following topics:
- Introduction to natural language processing
- Understanding the regular expression
- Tokenization and text normalization
- Exploring text data
- Implementing text preprocessing using NLTK
- Create a basic ML model for text classification
Are there other free courses available by DataPeaker?
Bet! We have one the full range of free courses so you can sign up and start learning today. While these courses do not offer certificates, the learning on offer is unmatched and who can refuse to learn new data science concepts for free?
From machine learning algorithms to visualization design in Tableau, we have a wide range of free courses that you can choose from. So sign up today!!
If you have any question, feel free to contact us or leave a comment below.
