Certified Data Science Professional
$200.00
Master all the required skills for a successful career in data science.
- Get certified for your knowledge
- Work on projects and get experience certificate
- 100% job assistance, mock interviews and pitch to interviews
Description
Data science is one of the highest-growing fields in this century. It has a big potential to build solutions across the industry; hence, the demand for skilled professionals in this field is also increasing exponentially. This certification-oriented course presents a complete coverage of all the required data science skills with their key concepts. Along with understanding these concepts, this course also presents their practical implementation through real-world use cases.
Program Outcome
- Complete knowledge of all the required skills for a career in data science
- Hands-on exposure to all the important data science skills
- Sound exposure to statistics, machine learning, computer vision, and NLP
Prerequisite
- Basic knowledge of mathematics
- Intermediate-level knowledge of python programming
- Understanding of data structures
Complete Data Science: Course Contents
- Statistics
- Data and its properties
- Basic Statistics
- Univariate analysis
- Bivariate analysis
- Statistical tests
- Hypothesis test
- t-Test
- Chi-Square test
- ANOVA
- Machine Learning
- Regression analysis
- Introduction to regression analysis
- Different regression analysis techniques
- Classification
- Introduction to classification
- Different classification techniques
- Clustering
- Introduction to clustering
- Different clustering techniques
- Regression analysis
- Recommender Systems
- Overview
- Content-based filtering
- Collaborative filtering
- Association Rule Learning
- Apriori
- Eclat
- FP-Growth
- Time Series Analysis
- Moving Average
- ARIMA
- SARIMA
- Deep Learning
- Gradient Descent and Optimization
- Introduction to Neural Networks
- Convolutional Neural Network
- Recurrent Neural Networks
- Encoder-Decoder Models
- LSTM Model
- Generative Adversarial Network (GAN)
- Computer Vision
- Image Processing
- Image Classification
- Object Detection
- Natural Language Processing
- Text Analysis
- Text Classification
- Sentiment Analysis
- Word2Vec Models
- Sequence Modelling
- Capstone Project
A complete project that covers the skills earned during the course with guidance from industry mentors and support from learner success managers throughout.
FAQs
- Who can attend this course?
This course is suitable for beginners as well as professionals working in different domains.
- What is the mode of delivery?
This course has different modes of delivery. It can be taken in person from a center over the weeks, or it can be taken online as well based on your own convenience.
- Will there be an instructor also in this course?
Yes, an instructor will be there for in-person delivery and online (instructor-led) delivery.
- What are the prerequisites to attend this course?
Basic understanding of mathematics, python, and data structure is required to attend this course.
- How difficult is this course to learn?
The course has intermediate-level difficulty.
- What job roles can i take if i attend this course?
Data scientist, machine learning engineer, AI engineer, data analyst, computer vision engineer, NLP engineer, etc. roles can be explored after taking this course.
- Who can get the certificate?
All attendees who complete all sections of the course along with the capstone project will get the certificate.
- How the completeness of each section is measured in the course?
There are MCQ-based short tests given after each section to assess the understanding of a learner in each section. Finally, the capstone project is evaluated manually by the instructors.
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