

PG Certification In Data Science & AI at Edvancer Overview
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
PG Certification In Data Science & AI at Edvancer Highlights
- Become a full-stack data scientist with core skills in Machine Learning and Artificial Intelligence
- Get a huge hike in your salary on becoming a data scientist
- Batches will start on 25th August in Hyderabad
PG Certification In Data Science & AI at Edvancer Course details
- Batches will start on 25th August in Hyderabad
- 180 Hrs of industry expert led classroom sessions on weekends
- Bootcamp style training with 70% hands-on content with lab sessions
- Create a full-fledged AI product as your capstone project
- 24x7 lifetime access to online videos and content
- Top class faculty from premier companies like Google, Microsoft, Amazon, Deloitte etc.
- Get an industry recognised post-graduation certificate with job assistance
- Edvancer'?s Post Graduate Certification In Data Science & Artificial Intelligence (PGC-DSAI) is a 6 month weekend classroom program for working professionals & freshers alike looking to start or make a switch into a data science & AI career. This program is one of the most comprehensive ones available in India and covers each and every aspect of this world of data science. It will equip you with all the technologies, conceptual knowledge and skillsets that you need to crack any data science & AI interview, transition into a career in this field and prosper in it. This is a course designed to get you a job in data science
- Edvancer is India's leading data science training institute where we provide a range of courses on data science to all levels of learners. We have trained over 5,000 students and delivered over 10,00,000+ hours of learning. Our alumni work with some of India's top companies in data science and even globally. Our corporate clients include PwC, E&Y, L&T, HP, JP Morgan, Cognizant, Accenture, TCS, Microsoft etc
PG Certification In Data Science & AI at Edvancer Curriculum
Predictive Analytics in R
Introduction to business analytics
Fundamentals of R
Data visualization in R
Data preparation and cleaning using R
Understanding the data using univariate statistics in R
Hypothesis testing and ANOVA in R to guide decision making
Correlation and Linear regression
Logistic regression
Techniques of customer segmentation
Time series forecasting techniques
Decision trees & Random Forests
Boosting Machines
Cross Validation & Parameter Tuning
Machine Learning in Python
Introduction to Machine Learning in Python
Python Training
Introduction to Python
Iterative Operations & Functions in Python
Data Summary; Numerical and Visual in Python
Data Handling in Python using NumPy & Pandas
Machine Learning in Python
Basics of Machine Learning
Generalised Linear Models in Python
Tree Models using Python
Boosting Algorithms using Python
Support Vector Machines (SVM) and KNN in Python
Unsupervised learning in Python
Neural Networks
Text Mining in Python
Ensemble Methods in Machine Learning
Bokeh
Version Control using Git and Interactive Data Products
Deep Learning (Artificial Intelligence) Using Tensorflow and Keras
Introduction to AI and Deep Learning
Getting Started with Tensorflow
Deep Feed Forward & Convolutional Neural Networks
Introduction to Keras
Recurrent Neural Networks, Long-Short Term Memory and Gated Recurrent Unit
Autoencoders, Generative Adverserial Networks, Hopfield networks
Big Data Processing & Analysis using Hadoop & Spark
Introduction to Big Data & Hadoop
Managing a Big Data Eco-system
HDFS (Hadoop Distributed File System)
HBase concepts
Introduction to MapReduce
Analyzing data with Pig
Using Hive for Data Warehousing
Transferring bulk data using Sqoop
Streaming big data into Hadoop using Flume
Scala Basics
Spark Core
Apache Spark SQL
Data Visualization in Tableau
Introduction to Business Intelligence & Visualization
Introduction to Tableau
Dive into Tableau
Connecting Data Sources
Tableau Generated Fields
Data Manipulation in Tableau
Working with Dates in Tableau
Data Customization with Calculations
Adding Dynamism to a View with Parameters
Geographical Analysis & Maps
Creating Visualizations
Adding Statistics to Data
Formatting & Annotation
Dashboards & Stories
Data Analysis in SQL
Introduction To SQL
SQL Data Types & Operators
Useful Operations in SQL
Aggregating Data in SQL
Writing Sub-Queries in SQL
Common function in SQL
Analytic Functions in SQL
Writing DML Statements
Writing DDL Statements
Using Constraints in SQL
SQL Joins
Views in SQL