Learn Data Science Training and Certification Course from Data Science Certified Expert.
  • Course Duration
    20 Hours
  • Assignments Duration
    15 Hours
  • LMS Access
    365 Days
  • Support
    24/7 Support
  • Skill Levels
    Beginners

TuneTM Data Science with Python Training enables you to master all the fundamentals of Data science and analytics techniques using Python. Our training will help you to become an expert in working with Python Data Science packages such as Numpy, Matplotlib, Pandas, Scikit, and concepts including deep learning algorithms, evaluation of machine learning models, data visualization, statistical data analysis techniques, etc., through hands-on projects and use cases. This will help you to kick-start your career in this rapidly growing domain.

Data Science With Python Training

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Program Fees:$200.00
Discount Price:$160.00
You save:$40.00 (20%)

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One to One Training

Get 1-to-1 Live Instructor Led Online Training in flexible timings

Program Fees:$500.00
Discount Price:$400.00

Online Classroom

Attend our Instructor Led Online Virtual Classroom

Program Fees:$200.00
Discount Price:$160.00
Intro to Data Science

Learning Objectives:
Get an idea of what data science really is.Get acquainted with various analysis and visualization tools used in  data science.
Topics Covered:

  • What is Data Science?
  • Analytics Landscape
  • Life Cycle of a Data Science Project
  • Data Science Tools & Technologies
Mastering Python

Topics Covered:

  • Python Basics
  • Data Structures in Python
  • Control & Loop Statements in Python
  • Functions & Classes in Python
  • Working with Data
  • Analyze Data using Pandas
  • Visualize Data 
  • Case Study
Probability & Statistics

Topics Covered:

  • Measures of Central Tendency
  • Measures of Dispersion
  • Descriptive Statistics
  • Probability Basics
  • Marginal Probability
  • Bayes Theorem
  • Probability Distributions
  • Hypothesis Testing 
Advanced Statistics & Predictive Modeling - I

Topics Covered:

  • ANOVA
  • Linear Regression (OLS)
  • Case Study: Linear Regression
  • Principal Component Analysis
  • Factor Analysis
  • Case Study: PCA/FA
Advanced Statistics & Predictive Modeling - II

Topics Covered:

  • Logistic Regression
  • Case Study: Logistic Regression
  • K-Nearest Neighbor Algorithm
  • Case Study: K-Nearest Neighbor Algorithm
  • Decision Tree
  • Case Study: Decision Tree
Time Series Forecasting

Topics Covered:

  • Understand Time Series Data
  • Visualizing Time Series Components
  • Exponential Smoothing
  • Holt's Model
  • Holt-Winter's Model
  • ARIMA
  • Case Study: Time Series Modeling on Stock Price
Live Project & Interview Questions

TuneTM offers advanced Data Science interview questions and answers along with Data Science resume samples. 

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  • What is I miss one (or) more class?

    No worries. It might happen. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. And if required you can even attend that topic if any other live batches.

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  • What is the qualification of the trainer?
  • Who will provide the environment to execute the Practicals ?
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  • Can I attend a demo session?
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