data science with python training | skillzlearn

Python for Data Science Certification Training Course

0 student

[vc_row][vc_column][vc_tta_accordion][vc_tta_section title=”What are the course objectives?” tab_id=”1501590339434-3b10ff0c-6216″][vc_column_text]

The Data Science with Python course will furnish you with in-depth knowledge of the various libraries and packages required to perform data analysis, data visualization, web scraping, machine learning and natural language processing using Python.
Python has surpassed Java as the top language used to introduce US students to programming and computer science, and 46 percent of data science jobs list Python as a required skill.

[/vc_column_text][/vc_tta_section][vc_tta_section title=”What skills will you learn?” tab_id=”1501590339360-5226c0d1-7e62″][vc_column_text]This Python for Data Science training course will enable you to:
Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics.
Install the required Python environment and other auxiliary tools and libraries
Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions
Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO and Weave
Perform data analysis and manipulation using data structures and tools provided in the Pandas package
Gain expertise in machine learning using the Scikit-Learn package
Gain an in-depth understanding of supervised learning and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline
Use the Scikit-Learn package for natural language processing
Use the matplotlib library of Python for data visualization
Extract useful data from websites by performing web scrapping using Python
Integrate Python with Hadoop, Spark and MapReduce[/vc_column_text][/vc_tta_section][vc_tta_section title=”Who should take this Python for Data Science course?” tab_id=”1501590380972-ad14905a-ff89″][vc_column_text]There is a booming demand for skilled data scientists across all industries that make this course suited for participants at all levels of experience. We recommend this Data Science with Python training particularly for the following professionals:
Analytics professionals who want to work with Python
Software professionals looking to get into the field of analytics
IT professionals interested in pursuing a career in analytics
Graduates looking to build a career in analytics and data science
Experienced professionals who would like to harness data science in their fields
Anyone with a genuine interest in the field of data science

Prerequisites: There are no prerequisites for this Data Science with Python course. The Python basics course included with this program provides additional coding guidance.[/vc_column_text][/vc_tta_section][vc_tta_section title=”What projects are included in this course?” tab_id=”1501590380738-d7c192ac-4576″][vc_column_text]The course includes four real-life, industry-based projects. Successful evaluation of one of the following projects is a part of the certification eligibility criteria:

Project-1: NYC 311 Service Request Analysis
Telecommunication: Perform a service request data analysis of New York City 311 calls. You will focus on the data wrangling techniques to understand the pattern in the data and also visualize the major complaint types.

Project-2: MovieLens Dataset Analysis
Engineering: The GroupLens Research Project is a research group in the Department of Computer Science and Engineering at the University of Minnesota. The researchers of this group are involved in many research projects related to the fields of information filtering, collaborative filtering, and recommender systems. Here, we ask you to perform the analysis using the Exploratory Data Analysis technique for user datasets.

Project-3: Stock Market Data Analysis
Stock Market: As a part of the project, you need to import data using Yahoo data reader of the following companies: Yahoo, Apple, Amazon, Microsoft, and Google. Perform fundamental analytics including plotting  closing price, plotting stock trade by volume, performing daily return analysis, and using pair plot to show the correlation between all the stocks.

Project-4: Titanic Dataset Analysis
Hazard: On April 15, 1912, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This tragedy shocked the world and led to better safety regulations for ships. Here, we ask you to perform the analysis through the exploratory data analysis technique. In particular, we want you to apply the tools of machine learning to predict which passengers survived the tragedy.[/vc_column_text][/vc_tta_section][/vc_tta_accordion][/vc_column][/vc_row][vc_row][vc_column][vc_custom_heading text=”FAQs” font_container=”tag:h3|text_align:center” google_fonts=”font_family:Roboto%20Slab%3A100%2C300%2Cregular%2C700|font_style:400%20regular%3A400%3Anormal”][vc_tta_accordion][vc_tta_section title=”What are the System Requirements?” tab_id=”1508824408030-0ae89d86-6009″][vc_column_text]

To run Python, your system needs to fulfil the following requirements:
  • 32 or 64-bit Operating System
  • 1GB RAM
The instruction require Anaconda and Jupyter notebooks. The e-learning videos provide detail instruction on how to install these.

[/vc_column_text][/vc_tta_section][vc_tta_section title=”Who are the trainers?” tab_id=”1508824408105-2f0458f9-96aa”][vc_column_text]The trainings are delivered by highly qualified and certified instructors with relevant industry experience.[/vc_column_text][/vc_tta_section][vc_tta_section title=”What are the modes of training offered for this course?” tab_id=”1508824523953-c173b527-5f40″][vc_column_text]Live Virtual Classroom or Online Classroom: In online classroom training, you have the option to attend the course remotely from your desktop via video conferencing. This format saves productivity challenges and decreases your time spent away from work or home.

Online Self-Learning: In this mode, you will receive the lecture videos and you can go through the course as per your convenience.

WinPython portable distribution is the open source environment on which all hands-on exercises will be done. Instructions for installation will be conveyed during the training.[/vc_column_text][/vc_tta_section][vc_tta_section title=”What if I miss a class?” tab_id=”1508824548297-f166de54-3c93″][vc_column_text]We provide the recordings of the class after the session is conducted. So, if you miss a class, you can go through the recordings before the next session.[/vc_column_text][/vc_tta_section][vc_tta_section title=”Can I cancel my enrollment? Do I get a refund?” tab_id=”1508824574978-e42126b8-e144″][vc_column_text]Yes, you can cancel your enrolment. We provide a complete refund after deducting the administration fee. To know more, please go through our Refund Policy.[/vc_column_text][/vc_tta_section][/vc_tta_accordion][/vc_column][/vc_row]


User Avatar Vivek Kumar


Leave a Reply

Your email address will not be published. Required fields are marked *