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Data Science: Foundations & Regression (Python)

Become a certified data scientist with 100% job guarantee Key Highlights: No prerequisites required 6 months program & 100+ hrs of live sessions 50+ hours of self-paced content 10+ industry pro...

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Course Description

Become a certified data scientist with 100% job guarantee Key Highlights: No prerequisites required 6 months program & 100+ hrs of live sessions 50+ hours of self-paced content 10+ industry projects for practical knowledge One on one mentorship Dedicated support team Benefits: Grasp core data science concepts. Master python programming. Manage data adeptly with MS excel. Dive into...

Become a certified data scientist with 100% job guarantee Key Highlights: No prerequisites required 6 months program & 100+ hrs of live sessions 50+ hours of self-paced content 10+ industry projects for practical knowledge One on one mentorship Dedicated support team Benefits: Grasp core data science concepts. Master python programming. Manage data adeptly with MS excel. Dive into statistics for data insights. Analyze vast databases using advanced SQL. Craft & refine machine learning models. Use Power BI for dynamic data visualization. Harness NLP for sentiment analysis & effective communication.

What you’ll learn
  • Job Guarantee Program
  • 150+ Hours of Hybrid Learning
  • Acquire Modern, Hands-on Skills & Tools
  • Access to Support Groups
  • 4+ Real-world, Industry-Aligned Capstone Projects
  • Curriculum Developed by Industry Professionals
  • Interview Preparation & Resume Building
  • Upto 3 Mock Interviews

Covering Topics

1
Python
2
Statistics & mathematics
3
Deep learning
4
Advance excel
5
PowerBI
6
NLP
7
SQL
8
Machine learning
9
Deployment

Curriculum

      Session 1:Introduction to Python
      Session 2: List, Tuples
      Session 3:Dictionaries and Sets - Frozen sets
      Session 4:Arrays and MultiDimensional arrays
      Session5:Conditional programming
      Session 7:
Functions and File handling
      Session 8:
Python Modules
      Session 9:
OOPs
      Session 10:
Error Handling and Debugging
      Session 11:
Python Libraries
      Session 12:
Python Visualization
      Session 13:
Excel Basics
      Session 14:
Functions
      Session 15:
Statistical Analysis
      Session 16:
Pivot Table
      Session 17:
Data Cleaning
      Session 11:
Python Libraries
      Session 18:
Macros & VBA
      Session 19:
Introduction to SQL and SQL Operators
      Session 20:
SQL Functions and Joins
      Session 21:
Sub Queries and Views
      Session 22:
Indexes
      Session 23:
Introduction of Statistics
      Session 24:
Probability
      Session 25:
Statistical Inference
      Session 26:
Linear Algebra and doubt clearing
      Session 27:
Introduction to Power BI and Charts
      Session 28:
Maps and Other Charts
      Session 22:
Indexes
      Session 29:
Advanced Charts
      Session 30:
DAX and slicers
      Session 31:
PowerBI queries
      Session 32:
Dashboard
      Session 33:
Introduction to Machine Learning
      Session 34:
Regression
      Session 35:
Naive Bayes Classifier Algorithm
      Session 36:
DT and Ensemble Learning technique
      Session 37:
Unsupervised Learning
      Session 38:
Bagging and Boosting
      Session 39:
Dimensionality Reduction - PCA
      Session 40:
Performance Evaluation
      Session 41:
Deep Learning Introduction
      Session 42:
DL Algorithms
      Session 43:
Computer Vision
      Session 44:
Introduction to Time series Analysis
      Session 45:
Performance Evaluation of Time series models
      Session 46:
Basics of Natural Language Processing and Embedding
      Session 47:
Transformation Models and Sentiment Analysis
      Session 48:
Flask Environment Setup
      Session 46:
Basics of Natural Language Processing and Embedding

Frequently Asked Questions

The course duration will be of 6 months.

Capstone projects will give you better practical hands-on experience for real-world projects.

At least 10-12 hours per week of time commitment is expected to be able to get the best out of the program.

Yes, a course completion certificate from Eduonix will be provided on completing all the projects and exams at the end of the course.

100% of Program modules must be completed by the learner and the learner must have received a Program completion certificate as per the policies of Eduonix Learner must achieve a minimum of 85% attendance in the live online sessions Learner must complete 100% of online recorded modules Note - The learner must be an Indian citizen to avail the Job/Internship guarantee.

Software Developers, IT Professionals, Engineers, Tech Support Professionals, Recent graduates wanting to kick-start a career in Data Science

All recordings will be available in your Eduonix dashboards for life. You can refer to them in the future whenever you want

You can cancel your slot within 24 hours of your payment. You will not be able to cancel your seat after that.

You can interact with the instructor during the session. We will also conduct project support and Q/A session during the week for proper assimilation.