Upskilling Success Story Of A Freelancer Ekta Data Science Course Simplilearn Reviews

Ekta Saraogi was working at British Telecom as a Project Manager but was inclined towards the field of Data Science and she wanted to try out freelancing. This led her to take a career break and enrolled for Simplilearn's Data Scientist Masters course. Ekta learnt many courses in the Data Scientist masters course including Data Science with R, Data Science with SAS, Data Science with Python, Machine Learning, Tableau, Big Data Hadoop and Spark. After doing the course, she started applying on freelancing domains, LinkedIn and Facebook groups. Soon, she was working as a freelancer in Data Science for many companies on a contract basis. She is working on web scraping projects, data analytics and scripting at Odetta.ai. Ekta also started to create tutorials on Data Science, Python and SAS for various companies including Packt. She also started to train some professionals on Python with Django with leading ed-tech companies. Her aspirations for the future in her words: "In the future, I am looking at taking Data Visualization courses including Tableau and Power BI. Data visualization forms the end process of a Data Science project and I want to attend training soon. Ultimately I want to become a Subject Matter Expert (SME) in Data Science. As it is a vast subject, I want to develop a niche in areas like Python scripting or data visualization."

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This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.

Why learn Data Science?
Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. Data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data.

You can gain in-depth knowledge of Data Science by taking our Data Science with python certification training course. With Simplilearn’s Data Science certification training course, you will prepare for a career as a Data Scientist as you master all the concepts and techniques. Those who complete the course will be able to:

1. 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
2. Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
3. 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

The Data Science with python is recommended for:
1. Analytics professionals who want to work with Python
2. Software professionals looking to get into the field of analytics
3. IT professionals interested in pursuing a career in analytics
4. Graduates looking to build a career in analytics and data science
5. Experienced professionals who would like to harness data science in their fields

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