Data Science Full Stack With IBM Certification ( 100% job gurantee)

About Course
Unlock Your Data Science Career: 7 Months of Comprehensive Learning 📊💼
Are you ready to step into one of the most lucrative and high-demand fields in the world? With Data Science transforming industries, now is the perfect time to gain the skills and knowledge to thrive in this exciting career. Whether you’re a beginner or someone looking to transition into the field, our Data Science Course is designed for everyone and will guide you from foundational concepts to advanced techniques that are crucial in today’s data-driven world.
Why Choose This Course? 🎯
This course isn’t just about learning; it’s about transforming your career. Here’s why you should enroll:
- 100% Job Guarantee 💼: Upon successful completion, we guarantee a minimum salary of 8 LPA (Lakhs per Annum). If we fail to place you, we will refund your money without any questions or take legal action. We take your success seriously and provide all legal documents for assurance once you enroll.
- Expert-Led Live Sessions 👨🏫: Get direct access to live interactive sessions every Tuesday and Friday for 5-6 hours. Learn directly from industry experts with real-world experience.
- Flexible Learning 📚: All sessions will be recorded and available on our LMS (Learning Management System) for you to review anytime. Never worry about missing a class again.
- Hands-On Projects 🛠️: Apply what you learn through real-world projects, from data cleaning to building machine learning models, ensuring you’re job-ready.
- Comprehensive Curriculum 📊: Covering everything from basic statistics and data analysis to machine learning, big data, and deep learning.
Course Overview 🔍
This 7 month course is packed with all the essential knowledge and skills you need to become a successful Data Scientist. Here’s a sneak peek into what you’ll learn:
- Data Science Fundamentals: Understand data structures, data cleaning, exploration, and visualization.
- Machine Learning: Learn key algorithms like Regression, Classification, Clustering, and more.
- Big Data Technologies: Master tools like Hadoop and Spark to handle large datasets.
- Deep Learning: Dive into neural networks and deep learning techniques.
- Real-Time Data Processing: Learn how to handle real-time data using tools like Kafka and Spark Streaming.
- Statistical Analysis: Develop strong foundations in statistics to make data-driven decisions.
- Project-Based Learning: Work on capstone projects that simulate real job tasks, ensuring you build a strong portfolio to impress employers.
Course Highlights 📍
- Duration: 6-7 months of intensive learning
- Live Sessions: 2 live sessions per week on Tuesday and Friday for 5-6 hours each
- Flexible Access: Access session recordings anytime on our LMS
- 100% Job Guarantee: Minimum 8 LPA salary or your money back
- Hands-On Experience: Real-world projects and case studies
- Expert Mentorship: Learn from industry professionals with years of experience
What’s Included? 📦
- Live Sessions: Bi-weekly live sessions with practical, hands-on training.
- Recorded Content: Lifetime access to session recordings on our LMS.
- Assignments and Quizzes: Weekly assignments and quizzes to reinforce your learning.
- Capstone Project: Apply your skills with a real-world project that demonstrates your capabilities.
- Job Assistance: Exclusive access to job placements and career support.
Who Should Enroll? 🎓
- Fresh Graduates looking to kick-start their career in data science.
- Professionals seeking to transition into the world of Data Science.
- Anyone passionate about working with data and machine learning but unsure where to start.
Our Commitment to Your Success 🔑
We are not just another course provider. We are your partner in success. With our 100% Job Guarantee, we ensure that your hard work leads to tangible results. From the moment you enroll, you’ll receive:
- Detailed Career Support: Assistance with your resume, interview preparation, and job placements.
- Legal Assurance: We provide legal documents to guarantee the placement or refund option.
Take the First Step Towards a High-Paying Career in Data Science Now! 🚀
Don’t wait for opportunities to find you—create them. Our course provides everything you need to not only land your dream job but also excel in it. With expert training, real-world applications, and a money-back guarantee, you have nothing to lose and a bright future ahead.
Enroll today and start your journey towards becoming a highly sought-after Data Scientist. 🌟
What Will You Learn?
- Data analysis, processing, and visualization fundamentals
- Data cleaning and preprocessing techniques
- Exploratory Data Analysis (EDA)
- Statistical analysis and hypothesis testing
- Machine Learning algorithms and applications
- Feature engineering and selection
- Model evaluation and optimization
- Big data handling with Hadoop and Spark
- Working with databases and SQL for data extraction
- Deep learning basics with neural networks
- Data storytelling and visualization tools like Matplotlib, Seaborn, and Tableau
Course Content
Python
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Python Basics
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Data Types & functions
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OOPS
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Special (Magic/Dunder) Methods
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Property Decorators – Getters, Setters, And Deletes
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Logging, Debugger
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Files & Exceptional Handling
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Database & Web Api
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Python library – Numpy
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Python library – Pandas
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Python library – Matplotlib
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Python library – Seaborn
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Python library – Plotly
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Python library – Bokeh
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Python – 1
DSA with Python
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Arrays and Lists
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Strings
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Linked Lists
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Stacks and Queues
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Trees
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Heaps
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Graphs
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Hashing
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Sorting Algorithms
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Searching & Greedy Algorithms
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Dynamic Programming
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Recursion
00:00
Python Projects
DataBases
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My SQL
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Mongo DB
00:00
Data Visualization
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Excel
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PowerBi
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Tableu
00:00
Statistics – I
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Types Of Statistics and Data
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Measures Of Central Tendency and Dispersion
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Random Variables
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Set
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Skewness
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Covariance And Correlation
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Probability Density/Distribution Function
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Binomial Distribution & Poisson Distribution
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Bernoulli Distribution & Uniform Distribution
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Central Limit Theorem
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A Hypothesis & Hypothesis Testing’S Mechanism
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Gaussian Distribution
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Statistics – II
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Student T Distribution
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T-Stats Vs. Z-Stats:
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Type 1 & Type 2 Error
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Confidence Intervals And The Margin Of Error
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Hypothesis Testing’S Mechanism
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Interpreting Confidence Levels And Confidence Intervals
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Chi-Square Test & Chi-Square Distribution Using Python
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Analysis Of Variance (Anova)
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Partitioning Of Variance In The Anova
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Calculating Using Python
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F-Distribution
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F-Test (Variance Ratio Test)
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Determining The Values Of F
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F Distribution Using Python
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Calculus – I
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Limits and Continuity
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Differentiation
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Optimization Techniques
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Gradient Descent and variants (Stochastic, Mini-batch)
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Integral Calculus – I
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Integral Calculus – II
00:00
Calculus – II
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Differential Equations
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Taylor and Maclaurin Series
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Multivariable Calculus
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Convex Functions and Optimization
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Applications in Probability and Statistics
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Machine Learning
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Introduction to ML
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Feature Engineering – I
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Feature Engineering – II
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Feature Engineering – III
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Exploratory Data Analysis – I
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Exploratory Data Analysis – II
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Regression
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Regression – II
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Decision Trees & SVM
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Naive Bayes & Ensemble techniques
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Boosting, KNN & Dimensit Reduction
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Anomaly Detection & Time Series
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Data Analytics Project
Deep learning
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Neural Network A Simple Perception
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Tensorflow
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Pytorch & CNN
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Image Classifications
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RCNN, YOLO, Detectron2 & TFOD2 – I
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RCNN, YOLO, Detectron2 & TFOD2 – II
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Image Segmentation & Mask Rcnn
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Object Detection
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GAN
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NLP
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Nlp Introduction
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Text Processing for Nlp
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Nlp Libraries & Networks
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Attention based model & Transfer learning
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Computer Visions
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Convolutional Neural Networks (CNNs)
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Image Classification
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Object Detection
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Image Segmentation
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Feature Extraction
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Transfer Learning for Vision Models
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Generative Adversarial Networks (GANs)
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3D Vision and Depth Estimation
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Big Data
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3D Vision and Depth Estimation
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Distributed Computing (e.g., Apache Spark)
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Data Cleaning and Preprocessing for Big Data
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MapReduce Framework
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Real-Time Data Processing (e.g., Kafka, Spark Streaming)
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Data Lakes and Data Warehousing
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Big Data Analytics and Visualization
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AWS
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Collecting Data on AWS
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Storing Data on AWS
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Processing Data on AWS
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Analysing Data on AWs
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Visualizing Data on AWS
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Securing Data Analytics Pipelines
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Generative AI + Github
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Generative AI for Text Generation
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Generative AI for Machine Translation
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Advanced Topics in Generative AI with NLP
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LLMs: Use Cases and Potentials
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Hugging Face Hub: A Gateway to Generative AI
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Prompt Engineering: The Art of Guiding LLMs
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Fine-tuning: Unveiling the Potential of LLMs
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Capstone Projects
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Working on census data of US to analyze the factors that influence the living standards of people in the USA
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Working on superstore dataset to analyse and create an insightful dashboard which can help businesses grow.
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Working on airport data to analyse flights data and identify factors which can optimize operations
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GeneAi – An Alexa Like Assistant A customized alexa like assistant with chat and voice command compatibilities. Useful for day-to-day tasks like web searching, knowledge extraction from documents or music recommendation
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Named Entity Recognition Utilizing Transformer models, NER project accurately identifies and extracts named entities from text.
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Customised Chat Bot Customised chatbot with langchain and Chainlit to generate a Question Answering system or RAG system that extracts information from various sources of documents or simple web searching.
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