Appleton Innovations - Data Science Course, Python for Data Science Training, Data Science Training

Choose Your Plan

Self-Paced: RS 1499/-

Self-Paced: RS 1499/-

Self-Paced: RS 1499/-

Get Trained by Trainers from IIT Alumni
40 + hours of Recorded Videos
5 + data science course
40+ Hours of practical Assignments on python for data science training
2 Mentoring sessions from industry experts
Data Science Training Certification
Internship offer

Mentor-Led: RS 5300/-

Self-Paced: RS 1499/-

Self-Paced: RS 1499/-

Get Trained by Trainers from IIT Alumni
40 + hours of live online training sessions
Recorded Videos
5 + data science course projects
40+ Hours of practical Assignments on python for data science training
Dedicated mentoring sessions from industry experts
Data Science Training Certification
Internship offer

Advanced : RS 8850/-

Self-Paced: RS 1499/-

Advanced : RS 8850/-

Get Trained by Trainers from IIT Alumni
80 + hours of training Sessions at Visakhapatnam
Recorded Videos
10 + data science course projects
60+ Hours of practical Assignments on python for data science training
Guaranteed Machine Learning Training Internship
Dedicated mentoring sessions from industry experts
Certification
Internship and Job placement Assistance

Data Science Course Curriculum

Module-1: Introduction to Data Science

Overview of Data Science
Need for Data Science
Data Science Project life cycle
Applications of Data Science

Module-2: Python for Data Science

Introduction to Python
Understanding Operators
Variables and Data Types
Conditional Statements
Looping Constructs
Functions
Data Structure
Lists
Dictionaries
Packages and Modules
Understanding Standard Libraries in Python

Module-3: Data Analysis using Python

Numpy Arrays
Working with Numpy Arrays
Working with CSV, Json, Excel, html and text data
Web scrapping
Introduction to pandas data frames
Data Frames and basic operations with Data Frames
Indexing
Handling missing data

Module-4: Data Visualization

Introduction to Data Visualization Tools
Data Visualization using Matplotlib
Data Visualization using Seaborn
Creating Dashboards with Plotly and Dash
Interactive data visualization using Bokeh

Module-5 : Recommendation systems

Introduction to Recommendation systems
Movie Recommendation systems
Restaurant Recommendation system

Module-6 : Understanding the Statistics for Data Science

Introduction to Statistics
Measures of Central Tendency I
Measures of Central Tendency II
Understanding the spread of data
Data Distribution
Introduction to Probability
Probabilities of Discreet and Continuous Variables
Central Limit Theorem and Normal Distribution I
Central Limit Theorem and Normal Distribution II
Introduction to Inferential Statistics
Confidence Interval and margin of error
Hypothesis Testing, T tests
Chi Squared Tests
Correlation

Module-7: Predictive Modeling

Introduction to Predictive Modeling
Understanding the types of Predictive Models
Stages of Predictive Models
Hypothesis Generation
Data Extraction, Data Exploration
Reading the data into Python
Variable Identification
Univariate Analysis for Continuous Variables
Univariate Analysis for Categorical Variables
Bivariate Analysis, Treating Missing Values
How to treat Outliers, Transforming the Variables
Basics of Model Building
Linear Regression
Logistic Regression
Decision Trees
KNN
Model Testing

Module-8: Capstone Project

In this data science course, You will engage fully in the process of designing Data Analytics, Solutions

and product