COLLABORATION WITH


Data Science with Python


Enrolled Students:- 150+
Resume Shortlisted:- 40+
Got Hired:- 10+
Life time access for customized Dashboard
Earn program completion and Internship completion certificate


Career Options

  1. Business Intelligence (BI) Developer
  2. Data Architect
  3. Application Architect
  4. Infrastructure Architect
  5. Data Scientist
  6. Data Analyst
  7. Machine Learning Scientist

What will you learn?

  1. Python for Data Science
  2. Introduction to Statistics
  3. Theoretical knowledge and practical aspects of Machine Learning
  4. Basic knowledge of Artificial Intelligence
  5. Neural Networks and working
  6. LSTM and sequence prediction
  7. Data science capstone project

Skills Gained



  1. Proficient use of Python libraries for data exploration and visualization.

  2. Basic understanding and hands-on experience in building machine learning models using Python.
  1. Application of statistical concepts for data interpretation and hypothesis testing

  2. Ability to clean and preprocess raw data for effective analysis and modeling.


PROGRAM LESSONS

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


PROJECT


PRICING PLANS

Standard Plan

Rs. 2999.00

+18% GST
  • 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
Student Choice

Rs. 3500.00

+18% GST
  • 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

Sample Certificate

TESTIMONIALS

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