3500.00
+18% GST
Pre-enrollment Price 3500.00- Program Duration: 4 Years
- 25+ Hours of Content
- 4 Projects
- Live Sessions During Project Execution & Training
- Microsoft Certification
- Internship Offer Letter
- Internship Completion Certificate
- Project Report
- Fee is applicable only for the platform and Microsoft certification examination
2099.00
+18% GST
Total Platform Fee 2099.00- Program Duration: 2 month
- 2 Major Projects
- 30+ Hours of content
- Internship Offer Letter
- Internship Completion Certificate
- Program Completion Certficate
- Fee is applicable only for the platform
What Will I Learn?
- Python for Data Science
- Introduction to Statistics
- Theoretical knowledge and practical aspects of Machine Learning
- Basic knowledge of Artificial Intelligence
- Neural Networks and working
- LSTM and sequence prediction
- Data science capstone project
Program Description
This Live Industrial Training program is for individuals who love statistics, programming and enjoy solving problems. You are someone who loves to constantly learn new things and upskill themselves.
As per The Economist" The world's most valuable resource is Big Data, no longer oil"
The main purpose of this Industrial Training Program is to introduce you to various statistical techniques and to use them to analyze and draw insights from the data. Be it data extraction, wrangling, and pre-processing, you will be expected to don the hat of a data scientist and be able to derive insights build a predictive model and assist companies in making smart decisions
As per The Economist" The world's most valuable resource is Big Data, no longer oil"
The main purpose of this Industrial Training Program is to introduce you to various statistical techniques and to use them to analyze and draw insights from the data. Be it data extraction, wrangling, and pre-processing, you will be expected to don the hat of a data scientist and be able to derive insights build a predictive model and assist companies in making smart decisions
Pre-Rrequisite
- ●A PC/Mobile phone to attend the class
- ●A stable internet connection of at least 1Mbps (Recommended: 2 Mbps)
- ●Headphone and Microphone
- ●A quiet room or surrounding to attend the class.
Certification
Program Index
Chapter 1 - Introduction to DS
- 1.1. Introduction to Data Science
- 1.2. Data Science Pipeline
- 1.3. Data Science Career
Chapter 2 - Introduction to Python
- 2.1 Introduction to Python
- 2.2 First Program
- 2.3 Comments
- 2.4.1 Data Types - Part 1
- 2.4.2 Data Types - Part 2
- 2.5.1 Operators - Part 1
- 2.5.2 Operators - Part 2
- 2.6.1 Variables - Part 1
- 2.6.2 Variables - Part 2
- 2.7 Syntax
- 2.8 Working with Numbers
- 2.9.1 Working with Strings - Part 1
- 2.9.2 Working with Strings - Part 2
- 2.10 Date & Time
- 2.11.1 Conditional Statements - Part 1
- 2.11.2 Conditional Statements - Part 2
- 2.12.1 For Loop - Part 1
- 2.12.2 For Loop - Part 2
- 2.13 While Loop
- 2.14.1 Lists Tuples Sets - Part 1
- 2.14.2 Lists Tuples Sets - Part 2
- 2.14.3 Lists Tuples Sets - Part 3
- 2.15.1 Dictionaries - Part 1
- 2.15.2 Dictionaries - Part 2
- 2.16.1 Functions - Part 1
- 2.16.1 Functions - Part 1
- 2.17.1 Numpy - Part 1
- 2.17.2 Numpy - Part 2
- 2.17.3 Numpy - Part 3
- 2.18.1 MatPlotLib - Part 1
- 2.18.2 MatPlotLib - Part 2
- 2.19.1 Pandas - Part 1
- 2.19.2 Pandas - Part 2
Chapter 3 - Math's required for Data Science
- 3.1 Math's Required for Data Science
- 3.2 intro_to_statistics
- 3.2 intro_to_statistics
- 3.4 Measure of Spread
- 3.5 Probability
- 3.6 Conditional probability
- 3.7 Data Scientist vs Statisticians
- 3.8 Data Preprocessing
Chapter 4 - Introduction to Machine Learning
- 4.1 Introduction to Machine Learning
- 4.1.1 Types of ML Algorithms
- 4.2 Steps in building ML Model
- 4.3 Linear regression
- 4.4 Logistic regression
- 4.5 KNN
- 4.6 Naive Bayes
- 4.7 Clustering
- 4.8 K-means Clustering
- 4.9 Hierarchical Clustering
- 4.10 Dimensional Reduction
- 4.10.1 Principal Component Analysis
- 4.10.2 Linear Discriminant Analysis
- 4.11 Supervised vs Unsupervised
- 4.12 Semi-Supervised
- 4.13.1 Reinforcement Learning Part1
- 4.13.2 Reinforcement Learning Part2
- 4.14 Data Science vs Machine Learning
Chapter 5 - Deep Learning and Data Mining
- 5.1 Deep Learning
- 5.2 Introduction to TensorFlow and Keras
- 5.3 Data Mining
- 5.3.1 Data Preprocessing in Data Mining
- 5.4 Natural Language Processing
- 5.4.1 Data Preprocessing in NLP
Projects
- Hierarchical Clustering
- ChatBot
- Linear Discriminant Analysis
- Hate Speech Detection
₹ 3500
+18% GST
Pre-enrollment Price ₹ 3500- Program Duration: 4 Years
- 25+ Hours of Content
- 4 Projects
- Live Sessions During Project Execution & Training
- Microsoft Certification
- Internship Offer Letter
- Internship Completion Certificate
- Project Report
- Fee is applicable only for the platform and Microsoft certification examination
₹ 2000
+18% GST
Total Platform Fee ₹ 2000- Program Duration: 2 month
- 2 Major Projects
- 30+ Hours of content
- Internship Offer Letter
- Internship Completion Certificate
- Program Completion Certficate
- Fee is applicable only for the platform
support@coincent.ai
+919036653157
+919036653157
