[2021] Learn Python for Data Science A-Z | Ver 5.9

Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly, and more!

GRASP the fundamental of Python for Data Science

UNDERSTAND the basics of Analytics

COMPREHEND the use of Analytics in various domains

LEARN the different roles of in different tools and the Analytics

GAIN an understanding of different tools and techniques in analytics

ACQUIRE the knowledge of Data Science, Data Mining, Statistics, Machine Learning, Supervised and Non-Supervised Techniques

GET the knowledge of crisp modelling framework

LEARN the key to deliver successful projects

ACQUIRE the knowledge of types of data and scales of measurement

GAIN the understanding of installing Anaconda and Jupyter on your desktop/laptop

ACQUIRE the knowledge of how to analyze, retrieve and clean data with Python

GET the understanding of basic programming and data structures

COMPREHEND to use Pandas with Large Data Sets, Series Analysis and Effective Data Visualization in Python

LEARN all about statistics, hypothesis test, probability distribution and sampling techniques

GET complete knowledge about graphical representation of data

ACQUIRE the knowledge about linear and logistic regression

GET completely acquainted with cluster analysis and association rule analysis

UNDERSTAND all about text mining

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Bachelor's degree and the will to succeedNo coding experience is required

Do you want to make your career in Data Science

Want to have a successful career and a life worth inspiring

All you need is the will to succeed and passion to learn!!!

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Python being one of the most widely used languages is the new mantra for success. It is the number one tool for analytical professionals and is one of the top programming languages in the year 2019. Our aim is to make the students get acquainted with python and become proficient in the most popular programming language.

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To have a bright future in the field of data science we offer you complete knowledge in the same with our well-designed course. From Predictive Analytics using Python to Machine Learning and from data visualization to Big Data everything is covered in the comprehensive course.

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The course will provide the most reliable support in the career of the people who want to make it big in the field. Explore the length and breadth of the field with our well designed course and see yourself growing manifolds. The course includes everything from basic to advanced level that can equip you with everything you need to be a master in the field of data science, carving a path towards a bright future.

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Get enrolled in the most in-demand course and get hands-on experience to solve real-world problems. Kick start your learning of python for data science under the guidance of the expert and experienced faculty. Familiarize yourself with programming and elevate your python skills to an all-new level. Establish your mastery over the subject and become the master of a variety of skills to have a flourishing career. Move ahead with our course and get accustomed to an enriching experience.

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The benefits the course offers after the successful completion:

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Get access to a successful and bright career

Grasp the fundamental of Python for Data Science

Understand the basics of Analytics

Comprehend the use of Analytics in various domains

Learn the different roles of in different tools

Gain an understanding of different tools and techniques in analytics

Acquire the knowledge of Data Science, data mining, statistics, machine learning, supervised and non-supervised techniques

Get the knowledge of crisp modelling framework

Learn the key to deliver successful projects

Acquire the knowledge of types of data and scales of measurement

Gain the understanding of installing Anaconda and Jupyter on your desktop/laptop

Acquire the knowledge of how to analyze, retrieve and clean data with Python

Get an understanding of basic programming and data structures

Comprehend to use pandas with large data sets, series analysis and effective data visualization in python

Learn all about statistics, hypothesis test, probability distribution and sampling techniques

Get complete knowledge about graphical representation of data

Acquire knowledge about linear and logistic regression

Get completely acquainted with cluster analysis and association rule analysis

Understand all about text mining




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