Data Science using Python programming certification course enables you to learn data science concepts from scratch. This Python Course will also help you master important Python programming concepts such as data operations, file operations, object-oriented programming and various Python libraries such as Pandas, Numpy, Matplotlib which are essential for Data Science. Wissenhive's Python Certification Training course is also a gateway towards your Data Science career.Download Syllabus
Python is a rapidly growing high-level programming language which enables clear programs on small and large scales. Its advantage over other programming languages such as R is in its smooth learning curve, easy readability and easy to understand syntax. With the right training Python can be mastered quick enough and in this age where there is a need to extract relevant information from tons of Big Data, learning to use Python for data extraction is a great career choice.
Our course will introduce you to all the fundamentals of Python and on course completion you will know how to use it competently for data research and analysis. Payscale.com puts the median salary for a data scientist with Python skills at close to $100,000; a figure that is sure to grow in leaps and bounds in the next few years as demand for Python experts continues to rise.
Data Science is an evolving field and Python has become a required skill for 46-percent of jobs in Data Science. The demand for Data Science professionals will grow an estimated 1581-percent by 2020 and professionals with Python skills will have an additional advantage.
Python is the preferred language for new technologies such as Data Science and Machine Learning.
Data Science and Analytics (DSA) job listings is projected to grow by nearly 364,000 listings in 2020 - IBM
According to the TIOBE index, Python is one of the most popular programming languages in the world.
Data scientist has been declared as the hottest job of the 21st century. Due to high demand and less number of data scientists, data scientists earn base salaries up to 36% higher than other predictive analytics professionals. The salary of a data scientist depends on 2 thing
Type of company
Roles and responsibilities
|What is Data Science?||15:48||Play|
|Life Cycle of a Data Science Project||15:48||Play|
|Data Science Tools & Technologies||15:48||Play|
|Data Structures in Python||15:49||Play|
|Control & Loop Statements in Python||15:49||Play|
|Functions & Classes in Python||15:49||Play|
|Working with Data||15:49||Play|
|Analyze Data using Pandas||15:49||Play|
|Measures of Central Tendency||15:50||Play|
|Measures of Dispersion||15:50||Play|
|Linear Regression (OLS)||15:52||Play|
|Case Study: Linear Regression||15:52||Play|
|Principal Component Analysis||15:52||Play|
|Case Study: PCA/FA||15:52||Play|
|Case Study: Logistic Regression||15:54||Play|
|K-Nearest Neighbor Algorithm||15:54||Play|
|Case Study: K-Nearest Neighbor Algorithm||15:54||Play|
|Case Study: Decision Tree||15:54||Play|
|Understand Time Series Data||15:55||Play|
|Visualizing Time Series Components||15:55||Play|
Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing.
Wissenhive's Python Certification Training not only focuses on fundamentals of Python, Statistics and Machine Learning but also helps one gain expertise in applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands on. The course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing predictive modeling problem that would either require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds.
Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms.
Who should go for the course?
No exam required.
The candidate will complete a project at the end of the training. On successful completion of the project the candidate will receive a certificate of training.
In 2012, Harvard Business Review dubbed Data Scientist the sexiest job of the 21st Century. Companies like Google, Facebook and others collect user data and sell them to ad companies to earn profits. How do you think they know whether you like dogs or cats? How do you think Amazon knows what products to recommend to you even when they haven’t explicitly asked you about it? The answer is data. Some other major reasons why data science is popular are:
The top skills that are needed to be a Data Scientist include the following: