Unlock Your Potential with Our Comprehensive DataScience Training Program!
IN 3 MONTHS
Become a DataScientist
Our ‘Datascience Bootcamp: From Zero to Hero’ course is a transformative three-month journey designed to elevate your Datascience skills from basic to advanced levels. Throughout the program, you’ll delve into key Datascience libraries, such as Pandas for data analysis, and explore advanced concepts like Object-Oriented Programming. With hands-on experience in deploying Large Language Models (LLMs) and modern frameworks like Django for web development, you’ll emerge equipped to tackle real-world challenges and excel in professional settings.
Introduction to Python
Data Types Data Structures Conditional Statements Loops File Handling Errors and Exception Handling Function Code Optimization and argument functions Lambda Function Lambda Expression with Map, Filter & Reduce functions Exception Handling Object Oriented ProgrammingPython – General Purpose
Data Structures List, Tuple, Set, Dictionary If Conditions & Looping For loop, While loop List & Dictionary Comprehensions Handling Strings Writing Functions (def keyword) Knowledge Check – I (Practice Interview Questions on Functions) Lambda Expressions with Map, Filter & Reduce functions *args & **kwargsException HandlingObject Oriented Programming Class, Methods Understanding self & __init__ Instance/Static/Class Methods InheritanceIntroduction to Machine Learning
Understanding Machine Learning Landscape Supervised Learning Unsupervised Learning Examples to demonstrate the above (Swiggy, Netflix, Amazon…)Statistics
Measures of Central Tendency Mean, Mode, Median Mean vs Median: A Truth to be told with an example Measures of Spread Variance and Standard Deviation Practical understanding in the context of Stock Markets Data Visualization Histogram: How’s the data distributed Box plot: Who’s the outlier Scatter plot Normal/Gaussian Distribution Z-Score Empirical Rule Understanding Six Sigma Hypothesis Testing Z-test t-test Correlation Pearson Correlation Chi-Square ANOVA Bernoulli Distribution Probability & Bayes TheoremPython For Data Science
Exploring Pandas with a Real Estate Market dataset Assignment – 1 Analyze Movie Reviews from IMDb Assess the Weekly & Quarterly sales of a company Numpy Arrays Benefits of Vectorization with numpy arrays in python How e-commerce companies leverage these to find similar users/products Matplotlib/Seaborn libraries for data visualization Correlation implementation using Scipy library Knowledge Check – II (Correlation on different datasets) Skewness CheckMachine Learning
Linear Regression Mean Squared Error Gradient Descent (Stochastic/Batch/Mini-Batch) R2-Score Logistic Regression Difference between Odds Ratio & Probability Sigmoid Function Logit Function Decision Tree Entropy Information Gain Ensemble Models Bagging – Random Forest Boosting – Adaboost, Gradient Boost, XGBoost, LightGBM Support Vector Machines Kernels C and Gamma Naïve Bayes Classifier K Nearest Neighbors Hyperparameter Tuning GridSearchCV RandomizedSearchCV Bayesian OptimizationModel Evaluation Metrics
Confusion Matrix, Precision, Recall, F1-Score, AUC-ROC Curve
Mean Squared Error (MSE)
Mean Absolute Error (MAE)
Knowledge Check – III (MCQs from Interviews)
K Means Clustering, DBSCAN
Elbow Curve
Principal Component Analysis
Understanding Eigen Values & Eigen Vectors
Data Preprocessing/Data Cleaning Strategies
Missing Values Treatment Scaling Standard Scaler MinMax Scaler Encoding One Hot Encoding Label Encoding Frequency Encoding Data splitting strategies Train – Test split K Fold Cross Validation Stratified Kfold Multicollinearity check using VIF Web Scraping using Beautiful Soup Handling Imbalanced Datasets using SMOTE Libraries: Sklearn Assignment – 2 Work on a Credit Card Fraud Detection dataset.Natural Language Processing
Tokenization Bag of Words, CountVectorizer, Tf-Idf Vectorizer Stop words Removal Stemming & Lemmatization Libraries: Spacy, NLTK, Gensim Text Classification Topic Modelling Latent Dirichlet Allocation Non Negative Matrix Factorization Named Entity Recognition, Parts of Speech Tagging Understanding Chatbot Framework – Rasa Rasa NLU Rasa Core Word Embedding Techniques Word2Vec GloVe Assignment – 3 Work on a Text datasetProjects on the below datasets
Microsoft Mercedes Amazon Brazilian Insurance Company Telecommunications Image ClassificationHack-a-thon
Assistance
Resume Writing Building a Data Scientist LinkedIn Profile GitHub Profile
Explore our detailed curriculum!
Understand the in-depth concepts and tools you will learn throughout the program.
Who Can Apply for this Course?
Whether you’re a beginner or an intermediate professional seeking to upskill, transition or broaden your horizons in the field, our program is designed to help you succeed.
I am a College Graduate looking for a Job
I am an experienced IT Software Developer OR Testing Professional and looking for an extra edge on the Skills
I have a career GAP earlier and do not have any IT Experience
I am planning to switch from NON-IT or Testing or Development or Networking
I am a Project Manager and need to discuss with client end to end on technical and PM aspects. As well as I need to manage a development team also.
SKILLS TO CRACK THE JOB INTERVIEW
Daily Interaction Session
Self Intro Preparation
Weekly AI Mock Interview
Communication Skills
Resume Building
Resume Uploading – LinkedIn, Naukri etc.
LinkedIn profile optimization
Interview Preparation
Mock Interviews & Screening
Interview Tips And Tricks
SKILLS REQUIRED AFTER PLACEMENT
Mail Etiquettes
Meeting Etiquettes
Minutes Of Meeting(MOM)
Agile Methodology
Jira – Scrum Portal Hands On
Timesheet Entry
Corporate IT Culture
Log-in To Log-out Activities
Sample Certificate
A few reviews from our students
Courses
MuleSoft
Manual and Automation testing
AWS and DevOps
Python
Cybersecurity
MainFrames
Java FullStack
Contact Details
Phone: +91 7386777671
Email : techjobsolution2020@gmail.com
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