Data Science with Python

Python is mainly stated as high-level, general-purpose programming language, which emphasizes code readability. The syntax helps the programmers to express their concepts in few general "lines of code" when compared with other promising languages, like Java or C++. Through our courses, you can easily construct clear programs, on both large and small scales.As the importance of Python programming language is gaining huge popularity, therefore; the need to understand and know the language is increasing among people.

Curriculum:

Module 1: PYTHON BASICS

Introduction
basic syntax
Data types
if..else and for & while loop
functions
Modules and packages
file handling
Class and object
Regular expression

Module 2: INTRODUCING DATA SCIENCE

What is Data science..?
Explore the Data science workflow
Python Packages for data science
Installing Jupyter

Module 3: NUMPY ARRAYS

Creating an array
Mathematical operations
Indexing and slicing
Shape manipulation
Stacking arrays
Sorting arrays

Module 4: DATA ANALYSIS WITH PANDAS Part 1

Data structure of pandas
Series,DataFrames
Data Indexing and Selection
Operating on data in pandas
loc and iloc
map,apply,apply_map
group_by

Module 5: DATA ANALYSIS WITH PANDAS Part 2

string methods
Querying data in pandas
Concatenating and appending dataframes
Handling missing data
Handling Categorical data
Dealing with dates

Module 6: visualization with matplotlib part 1

Simple Line Plots
Scatter Plots
Legends and annotations

Module 7: visualization with matplotlib part 1

Heatmaps
Subplots
Plotting in Pandas

Module 8: machine learning part 1

What is Machine Learning..?
Introducing Scikit-learn
Types of ML
Basic steps of ML
Data preprocessing
Dealing with missing data
Handling with categorical data
Features scaling
Splitting data

Module 10: machine learning part 2

Linear Regression
Naive Bayes Classification
Logistic Regression
Support Vector Machine
Evaluate Classificaion model Performance
Principal Component Analysis
K-means Clustering
Cross validation and Grid search

Module 11: Natural Language Processing

Install nltk
Tokenize words
Tokenizing sentences

Module 12: Applying Error Handling concept in T SQL Programming

Stop words with NLTK
Stemming words with NLTK

Module 13: Project Work 1

Module 14: Project work 2

Course Highlights

No. of hours:

Star Rating: (2)

Trainer:

Recommended courses

Data Analyst

Fee:

Online Virtual Class Room

Enroll in any above batch and attend live class at scheduled time

16000

Offline Class Room

Visit our centre and enrol for the course, The course Fee will vary as per the Metro/ Non Metro or locality.

16000

Upcoming Batches:

FAQ:

1. Who can learn this course?

Anyone who is interested and having prior python programming knowledge.

2. If I don’t know python programming, can I join this course?

You can apply for Core Python Course first and then you should learn this course.

3. What are career opportunities from this course?

You can apply for jobs like Python Developer, Data Scientist, Sr. Data Scientist, Data Analyst and also for Software Engineer after completing this training program.

4. How long this course will take?

This course will take 45 hours practical live class. After that you can practice as much as you can.

5. Will you provide soft copy material?

We will give you access of our Advanced Learning management System, in LMS you will get recorded session, practice files, e-books and most importantly you can appear in self-assessment quiz to check your knowledge for each module.

6. I don’t have any technical education; can I apply for this course?

Yes, this is very easy to lean. No technical background is required.

7. Will you start this course from scratch?

Yes. We will start this course from scratch

Reviews:

Jan-06-2021

Very interesting course and contents are also very rich. Thank you

Jul-23-2020

Ishika Kumari

Very comprehensive and the format was able to get me using Python right away. The hands on is fantastic!

Contact us

+91-9999468662 +91-9999468661 info@wifilearning.com