Data Science Using Python | ABC Trainings

Data Science using Python

Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning
For IT & Computer science Engineers

Course Type

alternative

₹ 30440

What You'll Learn ?

Intro to Data Science & Python's Importance

Python Basics & Stats Fundamentals

Advanced Python Features

Exploratory Data Analysis (EDA)

EDA with a Case Study

Data Visualization & Skewness/Kurtosis

Probability Theory & Normal Distribution

Confidence Interval & Distributions

Data Pre-processing Fundamentals

Data Pre-processing with a Case Study

Course content

Topic 1 | Introduction to Data Science

Topic 2 | Modules and packages in python

Modules and packages in python

Topic 3 | Advance Features in Python

Advance Features in Python

Topic 4 | Exploratory Data Analysis (EDA)

Exploratory Data Analysis (EDA)

Topic 5 | EDA Case Study

EDA Case Study

Topic 6 | Data Visualization

Data Visualization

Topic 7 | Probability Theory case study

Probability Theory case study

Topic 8 | Confidence Interval case study

Confidence Interval case study

Topic 9 | Data Pre-processing

Data Pre-processing

Topic 10 | Data Pre-processing case study

Data Pre-processing case study

Topic 11 | Introduction to Machine learning

Introduction to Machine learning

Topic 12 | Supervised learning Algorithm

Supervised learning Algorithm

Topic 13 | Supervised learning Algorithm

Supervised learning Algorithm

supervised learning

Topic 14 | Unsupervised learning

Unsupervised learning

Topic 15 | Introduction to NLP

Introduction to NLP

Topic 16 | Introduction to WordCloud

Introduction to WordCloud

Topic 17 | wordcloud case study

wordcloud case study

Topic 18 | Forecasting case study

Forecasting case study

Topic 19 | Dimension Reduction

Dimension Reduction

Topic 20 | Dimension Reduction case study

Dimension Reduction case study

Topic 21 | Association Rule Mining case study

Association Rule Mining case study

Topic 22 | Project Work

Project Work 1

Topic 23 | Project work

Project work

Description

Course Description

In this competitive era, students and youngsters are concerned about their careers more than ever. Data Science is one such course that can give them a bright future.

Python is one of the most powerful and flexible programming languages that is easy-to-learn. Organizations widely use Python due to its powerful libraries for data mining and analysis. Organizations such as Google, Citi, Toyota, BuzzFeed, and many others are using Python extensively.

At present, the demand of a data scientist who is proficient using Python is huge. After getting our certificate, you can easily get a lucrative job in a big company because the competition here is much lower due to less availability of the candidates.

Course objectives

After enrolling in our Data Science using Python course, a student will:

Become familiar with Python Editors and other popular IDEs

Get proficient in Python files handling

Get a firm understanding of the subject

Become master of performing string manipulations

Master in using and creating functions in Python

Roles in industry

Data Scientist

Data Architect

Business Analyst

Data and Analytics Manager

Statistician

Database Administrator

Machine learning Engineer

Data Engineer

Machine learning Scientist

Analytics Manager

Course Highlights

Introduction to Data Science

Overview on Python programming

Exploratory Data Analysis (EDA)

Data Visualization

Data Distribution & Correlation

Regression Analysis

Clustering – Hierarchical & K-means

Classification – KNN, Naïve Bayes

Decision Tree, Random Forest

Text Mining, WordCloud

Dimension Reduction, Association Rules

Forecasting / Time Series

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