There are thousands of online upskilling data science programs on the internet nowadays. If you want to learn and master data science and grow a career out of it, then we have the best course for you.Â
PW Skills is offering a Data Science Course for everyone who wants to start their career in Data Science. With the power of Generative AI and Machine Learning, you can get certified with the high demand data science certificate in the industry. Get the complete course details in this article.
What is a Data Science Course by PW Skills?
PW Skills is offering an online job assistance upskilling program for data science enthusiasts. This course provides in-depth tutorial in live and recorded mode with a wide range of perks and updated learning materials inside.Â
The course consists of knowledge and lectures on Python, Statistics, Machine Learning, Deep Learning, NLP, Generative AI, Power BI, etc.Â
Data Science with Generative AI Course
The PW Skills Data Science Course covers every basic and advanced topic in the data science domain. With the power of Generative AI you will get in-depth knowledge. A data science course helps students understand how to manipulate structured and unstructured data using algorithms, tools, and other data science skills.
This detailed data science course details provided by PW Skills with a curriculum that contains important topics like programming, machine learning, artificial intelligence, data mining, mathematics, and more. Most of the topics in data science remain consistent, PW Skills offers in-depth and advanced tutorials to help learn data science and generative AI intelligence.
What is a Data Science Program?
A data science program consists of various data types and statistical techniques to extract unique and useful information from the data. Various strategies and techniques are used to manage business data effectively. The complete course is focused on upskilling students with information and knowledge of areas such as statistics, programming, algorithms, analytics, machine learning, and artificial intelligence.
The Data Science Course by PW Skills also offers Generative AI to help students capture the essence of using Artificial intelligence and machine learning and make extracting useful information more effective and reliable. The complete program is focused on helping students discover various career opportunities in leading companies, working on real world projects, and more.
Data Science Course Details: OverviewÂ
Check the complete data science course details in the table given below.Â
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Data Science Course Details |
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| Name of the Course | Data Science with Generative AI |
| Duration | 6 Months |
| Medium | English |
| Type | Job Assistance Program |
| Delivery Mode | Live + Recorded |
| Real world Projects | 4+ Real world Projects |
| Doubts Session | Yes |
| Recorded Lectures (Available) | Yes |
| Certification | Yes |
Important Topics in Data Science Course Details
Below are some of the important topics in the PW Skills Data Science Course.
1. Python Module
The Python tutorials in the PW Skills Data Science course are everything from scratch. Learn about Python basics, data types, OOPs, Data Types, Web API, Database, etc from scratch.Â
There are six modules in the Python subject in the course that will help students learn Python programming.
Module 1: Python Basics
- Introduction to Python
- Python Objects, Numbers, Strings, and Booleans
- Operators
- Container Objects
- Python Type Conversion
- Condition Statement
- Loops
- Break and Continue Statement
- Python Namespace
Module 2: Data Types & Functions
- Data Structure in Python
- Strings Object basics
- Inbuilt Methods
- Splitting Inbuilt Methods
- List Methods
- List Comprehension
- Dictionary
- Function Basics
- Generator FunctionsÂ
- Lambda Functions
- Map, Reduce, Filter Functions
Module 3: OOPs
- OOPS Basic Concepts.
- Creating Classes
- Pillars Of OOPS
- Inheritance
- Polymorphism
- Encapsulation
- Abstraction
- Decorator
- Class Methods And Static Methods
- Special (Magic/Dunder) Methods
- Property Decorators – Getters, Setters, And Deletes
Files & Exceptional HandlingÂ
- Working With Files
- Reading And Writing Files
- Buffered Read And Write
- Other File Methods.
- Logging, Debugger
- Modules And Import Statements
- Exceptions Handling With Try-Except
- Custom Exception Handling
- List Of General Use Exception
- Best Practice Exception Handling
Database & Web API
- Multithreading
- Multiprocessing
- Mysql
- Mongo Db
- What Is Web Api
- Difference B/W Api And Web Api
- Rest And Soap Architecture
- Restful Services
2. Statistics Modules
Get expert in statisticsÂ
Statistics BasicsÂ
- Introduction To Basic Statistics Terms
- Types Of Statistics
- Types Of Data
- Levels Of Measurement
- Measures Of Central Tendency
- Measures Of Dispersion
- Random Variables
- Set
- Skewness
- Covariance And Correlation
Statistics Advance
- Lecture 1: Probability Density/Distribution Function
- Lecture 2: Types Of The Probability Distribution
- Lecture 3 : Binomial Distribution
- Lecture 4 : Poisson Distribution
- Lecture 5: Normal Distribution (Gaussian Distribution)
- Lecture 6: Probability Density Function And Mass Function
- Lecture 7: Cumulative Density Function
- Lecture 8: Examples Of Normal Distribution
- Lecture 9 : Bernoulli Distribution
- Lecture 10: Uniform Distribution
- Lecture 11: Z Stats
3. Machine Learning
The Data Science Course consists of Machine Learning from scratch, popular ML Models, and algorithms. There are overall eight modules in machine learning subject completely covered from scratch.Â
- Module 1: Introduction to ML
- Module 2: Feature Engineering
- Module 3: Exploratory Data Analysis
- Module 4: Regression
- Module 5: Decision Trees & SVM
- Module 6: Naive Bayes & Ensemble Techniques
- Module 7: Boosting, KNN & Dimension Reduction
- Module 8: Anomaly Detection & Time Series
4. Deep LearningÂ
Deep Learning is a branch of machine learning based on artificial neural networks. These models are able to automatically learn features from the data and improve performance, automation, and services. You will learn deep learning from scratch in this course.
- Neural Network
- Tensorflow
- PyTorch & CNN
- Image Classifications
- RCNN, YOLO, Detectron2 & TFOD2
- Image Segmentation & Mask Rcnn
- Object Detection
- GAN
All these topics are covered in depth and each module provides tutorials, resources and learning materials. Advance your learning in deep learning tools and technologies.
5. NLP (Natural Language Processing)
The NLP module is a subfield of artificial intelligence used in various technical fields to enable an understanding and communication with human language. With NLP, devices can easily recognise, understand and generate text-like responses based on a rule-based machine language inspired by NLP. PW Skills Data Science course covers text processing, NLP libraries, models, and more.
- Module 1: Introduction of NLP
- Module 2: Text Processing using NLP
- Module 3: NLP LibrariesÂ
- Module 4:NLP Models
- Module 5: Transfer LearningÂ
6. Generative AI
Generative AI is an advanced technology used to create new content, strategies, ideas and help in making more informed data driven decisions. Generative AI is a more sustainable version of artificial intelligence complying with ai ethics and more. Learn more about this project in data science course details.
- Module 1: Introduction to Generative AI
- Module 2: Generative AI for text generation
- Module 3: Generative AI for Machine translation
- Module 4: Generative AI for content Creation
- Module 5: Advanced Topics in Generative AI with NLP
- Module 6: LLMs
- Module 7 Hugging Face Hub
- Module 8: Prompt Engineering
- Module 9: RAG: A generative AI tool
- Module 10: Fine tuningÂ
Data Science Course Details: ProjectsÂ
The data science course details provide us with the real-world projects that will help us apply everything we learned during the course. All these projects help you strengthen your concepts regarding the Data science and generative AI. Learn more about this project in data science course details.
GenAi: An Alexa Like AssistantÂ
Build an AI assistant with chat and voice command which is useful for executing daily tasks such as web searching, knowledge extractions or providing personalized recommendations. Learn more about this project in data science course details.
Customised Chat Bot
Build a Chatbot using the Long Chain and Chainlit framework which is capable of generating a question-answer system or RAG system that can extract important information from various sources of documents.
Named Entity Recognition
Utilise advanced AI transformer models to build a Name entity recognition project that can currently identify and extract any entities from a text document.
On Prompt Image and Caption Generator
This image generation tool capable of creating captions will help users generate content thumbnails easily. Learn more about this project in data science course details.
Best Practice to Master Data Science and Tools with PW Skills
PW Skills Data Science Course in detail consists of descriptive tutorials, practice exercises, real world projects, experienced mentors, doubt-solving sessions, module level assignments, and plenty more, which will help you get everything you need to ace your preparation.Â
However, it is important to adopt the best practice methods to get the best out of the course.
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- Be attentive: Maintain proper timing or try to join the live lecture on the defined schedule to be more attentive about the course progress.
- Practice and Practice: Always practice what you learned. Understand this phrase and try solving questions related to the concepts you learned recently within the course.
- Experiment with Advanced tools: Never turn away from learning about any new tool and technologies. The complete course is based on Generative AI learning. Take the best advantage of the course modules.
- Ask your Doubts Promptly: Never stay back from asking any confusion that might arise in your mind. Our experts are always there to help you with any doubts you might have in the tutorials or exercises.
- Real world Projects: Strengthen your learning by simultaneously practicing real world projects within the course. Solve practice exercises and module level assignments given in the course.
Data science course details FAQs
Q1. How Long is the Data Science Course by PW Skills?
Ans: The complete course duration is 6 months of Data Science course by pw skills.
Q2. Is the PW Skills Data Science Course self paced?
Ans: No, the Data Science Course provided by PW Skills consist of live lectures covered by experts on a regular basis. You can also watch recorded tutorials within the course profile.
Q3. Will I receive a certificate after completing a data science course?
Ans: Yes a industry recognised certification is provided to students after completing the tutorials and assignments mentioned in the course.
Q4. Are there real world projects in the Skills Data Science Course?
Ans: The course includes relevant hands on project along with capstone projects to help you implement whatever you learned during the course lectures.
