Data Science

Image

 

The Applied Data Science & Big Data Diploma Program, also known as the Data Science Bootcamp, is a flexible and part-time educational initiative aimed at assisting recent graduates and those looking to switch careers in entering the field of data science. This comprehensive program encompasses 26 weeks of part-time learning, followed by six months dedicated to creating a portfolio of projects. Additionally, there is a further six-month period of personalized one-on-one mentorship and job assistance post-graduation. DLytica Inc is dedicated to providing extensive support to empower learners in achieving their aspirations of a career change or kickstarting a new profession. For individuals seeking a seamless transition into the role of a data scientist, this program offers a well-structured curriculum that can be pursued alongside existing daytime commitments, making it a valuable investment in one’s professional journey.

Linear Algebra: Matrices, Vectors, Operations

Regression: Linear, Multiple Linear

Density Estimation: Probability Density, Kernel Density

Image

Data Description: Descriptive Stats

Random Sampling: Techniques, Distribution

Parameter Estimation: Point Estimation, Confidence Intervals

Hypothesis Testing: Null/Alternative Hypotheses, p-values

Image

1D Random Variable, Probability Distribution Function

Normal Distribution, Central Limit Theorem

Joint Probability Distribution

Image

Python Fundamentals and Libraries: Pandas, Numpy, Matplotlib

SQL Basics, Data Structures and Algorithms

Image

Exploratory Data Analysis, Handling Missing Values

Handling Outliers, Categorical Encoding

Normalization & Standardization, Regularization Techniques

Image

Correlation Analysis, Forward/Backward Elimination

Univariate Selection, Random Forest Importance

Feature Selection with Decision Trees, PCA, LDA

Image

Gradient Descent, GridSearchCV, Randomized SearchCV

Hyperparameter Tuning with Keras Tuner

XGBoost for Boosting Algorithms

Image

Introduction to Supervised, Unsupervised, Reinforcement Learning

Linear Regression, Logistic Regression SVM, KNN, k-means Clustering

Decision Trees, Random Forest, XGBoost

Image

Artificial Neural Networks, Convolutional Neural Networks

Recurrent Neural Networks

TensorFlow, Keras, PyTorch

Deep Neural Networks, Back propagation

Image

Text Classification, Word Vectors and Embeddings

Recommendation Engines

Image

Principles of Data Visualization

Matplotlib for Static Plots

Seaborn for Statistical Visualization

Plotly for Interactive Visualizations

Power BI

Image

Introduction to Deployment and Platforms (Heroku, AWS, Azure, GCP)

Building Web Apps with Streamlit

Web Frameworks: Flask and Django

Image

Work on real life industrial project.

Image

Data Science Expert

Rajiv Luitel is a highly experienced data scientist with a proven track record in the industry. With over 6 years of hands-on experience, he has successfully led data-driven projects, developed cutting-edge models, and provided strategic data insights across diverse sectors, making him a trusted authority in the field. Tchering’s practical industry expertise is a valuable asset to our data science training programs.

Course scheduling options vary, from self-paced learning that allows flexibility to fixed schedules with set class times. The availability of courses and their timing is contingent on student availability.
Course Label
Course Label
Advance
Language
Language
English
Duration
Duration
61h
Certificate
Certificate
Yes