Become a Data Scientist - Job training (beginner - advanced)
GATE by Moyyn
10:14:54
Description
For jobseekers and career change aspirants - including AI and Career Guidance Modules - Learn from Industry Leaders
What You'll Learn?
- Introduction to the field of Data Science
- How to build a Data Scientist's mindset
- Data Science approach
- Supervised Models: Regression
- Supervised Learning Models: Classification
- Various types of classification models for binary and multi-class classification
- Performance metrics: Confusion Matrix, F1, Precision, Recall, Accuracy - which one to use in which case, with examples
- Unsupervised Learning: Clustering, performance metrics
- Model Improvement Methods
- What does model improvement mean? What are the different options at our disposal and when to use them?
- Feature Selection and Dimensionality reduction methods: Lasso Regression, Ridge Regression, PCA
- Hyperparameter Tuning: Various methods, deep dive into Grid-search and Random-search
- Cross-Validation
- Application to hyperparameter tuning
- Introduction NLP with various common NLP tasks
- How is Natural Language data different from Panel or Tabular Data?
- Steps for processing natural language inputs: NLP pipeline (Tokenisation, Stopword Removal, Stemming, Lemmatisation)
- Various methods of word embedding: Bag of Words, Word2vec, Glove, and using Large Language Models
- Brief introduction to Recurrent Neural Networks and Long Short Term Memory models, the building blocks for all LLMs
- Pre-trained models and transfer learning
Who is this for?
What You Need to Know?
More details
DescriptionWelcome to 'Data Scientist - Job training', a first-of-its kind short program designed for jobseekers and career change aspirants.
This course is specifically created as a JOB-BASED TRAININGÂ program thereby teaching concepts hands-on and relevant to real-work environment. If you are looking for a job in Data Science or if you are a student who would like to get first experience in this domain, this course is exactly for you.
How is this program a JOB-BASED TRAINING and how will it equip you with skills relevant for your role:
What companies ask for a Data Scientist role?
Gather and clean large datasets from diverse sources to ensure data accuracy and completeness.
Collaborate with cross-functional teams to understand data requirements and optimize data collection processes.
Conduct exploratory data analysis to identify patterns, trends, and anomalies.
Design and implement machine learning models for predictive and prescriptive analytics.
Develop and engineer relevant features to improve model performance and accuracy.
Evaluate model performances
Stay informed about the latest advancements in machine learning and data science techniques.
How this course meets the requirements?
Learn about Data Loading and EDA
Collaborate with team members on various tasks and on Kaggle
Gain knowledge on EDA and Data Insight generation
Understand the concepts of feature engineering, feature selection, baseline model building, model performance analysis and model metrics
Learn about hyperparameter tuning, comparison of models, grid search, cross-validation
Learn and evaluate model performance and compare various models
Get introduced to NLP and advancements in Data Science
Tools you will learn:
Pandas
Numpy functions
Python functions
Kaggle notebooks
Google colab
matplotlib
seaborn
nltk
Scikit learn
XGBoost
LightGBM
Transformers, and many more ML packages and libraries, model metrics: cross entropy, DB Index, etc. NLP, and LLMs for ML tasks (hugging face library)
Extra Module and Benefits:
1. AI Fundamentals and Applications:
Unlock exclusive access to one of our AI modules Learn from our experts leveraging AI to enhance your productivity and understand the wide variety of applications of AI across industries
2. Career Guidance
Understand how to effectively search for a job, find startups, craft a compelling CV and Cover Letter, types of job platforms and many more!
Trainers:
Dr. Chetana Didugu - Germany
Dr. Chetana Didugu is an Experienced Data Scientist, Product Expert, and PhD graduate from IIM Ahmedabad. She has worked 10+ years in various top companies in the world like Amazon, FLIX, Zalando, HCL, etc in topics like Data Analysis and Visualisation, Business Analysis, Product Management, Product Analytics & Data Science. She has trained more than 100 students in this domain till date.
Aravinth Palaniswamy - Germany
Founder of 2 startups in Germany and India, Technology Consultant, and Chief Product Officer of Moyyn, and has 10+ years of experience in Venture Building, Product and Growth Marketing.
Who this course is for:
- Jobseekers
- Aspiring Data Analysts
- Entrepreneurs
- Non tech candidates
- Students in any domain
- Career change aspirants
Welcome to 'Data Scientist - Job training', a first-of-its kind short program designed for jobseekers and career change aspirants.
This course is specifically created as a JOB-BASED TRAININGÂ program thereby teaching concepts hands-on and relevant to real-work environment. If you are looking for a job in Data Science or if you are a student who would like to get first experience in this domain, this course is exactly for you.
How is this program a JOB-BASED TRAINING and how will it equip you with skills relevant for your role:
What companies ask for a Data Scientist role?
Gather and clean large datasets from diverse sources to ensure data accuracy and completeness.
Collaborate with cross-functional teams to understand data requirements and optimize data collection processes.
Conduct exploratory data analysis to identify patterns, trends, and anomalies.
Design and implement machine learning models for predictive and prescriptive analytics.
Develop and engineer relevant features to improve model performance and accuracy.
Evaluate model performances
Stay informed about the latest advancements in machine learning and data science techniques.
How this course meets the requirements?
Learn about Data Loading and EDA
Collaborate with team members on various tasks and on Kaggle
Gain knowledge on EDA and Data Insight generation
Understand the concepts of feature engineering, feature selection, baseline model building, model performance analysis and model metrics
Learn about hyperparameter tuning, comparison of models, grid search, cross-validation
Learn and evaluate model performance and compare various models
Get introduced to NLP and advancements in Data Science
Tools you will learn:
Pandas
Numpy functions
Python functions
Kaggle notebooks
Google colab
matplotlib
seaborn
nltk
Scikit learn
XGBoost
LightGBM
Transformers, and many more ML packages and libraries, model metrics: cross entropy, DB Index, etc. NLP, and LLMs for ML tasks (hugging face library)
Extra Module and Benefits:
1. AI Fundamentals and Applications:
Unlock exclusive access to one of our AI modules Learn from our experts leveraging AI to enhance your productivity and understand the wide variety of applications of AI across industries
2. Career Guidance
Understand how to effectively search for a job, find startups, craft a compelling CV and Cover Letter, types of job platforms and many more!
Trainers:
Dr. Chetana Didugu - Germany
Dr. Chetana Didugu is an Experienced Data Scientist, Product Expert, and PhD graduate from IIM Ahmedabad. She has worked 10+ years in various top companies in the world like Amazon, FLIX, Zalando, HCL, etc in topics like Data Analysis and Visualisation, Business Analysis, Product Management, Product Analytics & Data Science. She has trained more than 100 students in this domain till date.
Aravinth Palaniswamy - Germany
Founder of 2 startups in Germany and India, Technology Consultant, and Chief Product Officer of Moyyn, and has 10+ years of experience in Venture Building, Product and Growth Marketing.
Who this course is for:
- Jobseekers
- Aspiring Data Analysts
- Entrepreneurs
- Non tech candidates
- Students in any domain
- Career change aspirants
User Reviews
Rating
GATE by Moyyn
Instructor's Courses
Udemy
View courses Udemy- language english
- Training sessions 9
- duration 10:14:54
- Release Date 2024/03/16
