Data Science Course

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Data Science

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This best Data Scientist course online provides detailed learning through self-paced videos and live instructor-led sessions that help you gain skills in the shortest possible time. Data Scientists are among the highest-paid and most in-demand professionals. Our in-depth Data Science programs cover ‘What is Data Science?,’ statistical methods, data acquisition and analysis, Machine Learning algorithms, predictive analytics, data modeling, etc. At the end of this Data Science course, you will work on building a recommendation engine for an e-commerce site and will work on a real-time capstone project.

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The average annual salary of Data Scientists as per Indeed is US$122,801 in the United States.
  • Data Scientist is the best job in the 21st century – Harvard Business Review
  • The number of jobs for all data professionals in the United States will increase to 2.7 million – IBM
  • Global Big Data market achieves US$122 billion in sales in 6 years – Frost & Sullivan
The demand for Data Scientists far exceeds the supply. This is a serious problem in the data-driven world that we are living in today. As a result, most organizations are willing to pay high salaries for professionals with appropriate Data Science skills. Data Science training online will help you become proficient in Data Science, R programming language, Data Analysis, Big Data, and more. Thus, you can easily accelerate your career in this evolving domain and take it to the next level.
In this Data Science online course, you will learn about:
  • Introduction to Data Science and its importance
  • Data Science life cycle and data acquisition
  • Experimentation, evaluation, and project deployment tools
  • Various Machine Learning algorithms
  • Predictive analytics and segmentation using clustering
  • Fundamentals of Big Data Hadoop
  • Roles and responsibilities of a Data Scientist
  • Using real-world datasets to deploy recommender systems
  • Working on data mining and data manipulation
This Data Science course online can be signed up by:
  • Information Architects and Statisticians
  • Developers looking to master Machine Learning and Predictive Analytics
  • Big Data, Business Analysis, Business Intelligence, and Software Engineering Professionals
  • Aspirants looking to work as Machine Learning Experts, Data Scientists, etc.
There are no prerequisites for taking up this course. If you like mathematics, you can accelerate your learning through these Data Scientist online courses.
The main objective of this Data Science course is to help you gain proficiency in all basic and advanced level concepts in this field, such as Python, statistical computing, R programming, etc., and make you a successful Data Scientist.
Yes, Cattain offers a master’s course on Data Science. In which you will learn real-time analytics, statistical computation, SQL, parsing machine-generated data, and finally the domain of Deep Learning. You will also get an insight into how to use Big Data Analytics with Spark for Data Science as well. Additionally, you will have exclusive access to IBM Watson Cloud Lab for Chatbots. This course curriculum is designed by industry experts, and it includes 10 courses and 53 industry-based projects with 1 CAPSTONE project. The following courses will be covered in this course: Online Instructor-led Courses:
  • Course 1: Data Science with R
  • Course 2: Python for Data Science
  • Course 3: Machine Learning
  • Course 4: Artificial Intelligence and Deep Learning with TensorFlow
  • Course 5: Big Data Hadoop & Spark
  • Course 6: Tableau Desktop 10
  • Course 7: Data Science with SAS
Self-paced Courses:
  • Course 8: Advanced Excel
  • Course 9: MongoDB
  • Course 10: MS-SQL
In the United States, the average salary of a Data Scientist is US$112,957. The average salary of Data Scientists in India is ₹853,191.
Many top companies hire Data Scientists. A few of them are Amazon, Google, IBM, Facebook, Microsoft, Walmart, Target, Visa, Bank of America, Accenture, Fractal Analytics, etc.
There are several ways to become a Data Scientist. The Data Scientists use a large number of Data Science tools/technologies, such as R and Python programming languages, and analysis tools, like SAS. As a budding Data Scientist, you should be familiar with data analysis, statistical software packages, data visualization, and handling large datasets. Data Scientists’ major time spent in data exploration and data wrangling.
  1. Understand the Problem
Data Scientists should be aware of the business pain points and ask the right questions.
  1. Collect Data
They need to collect enough data to understand the problem at hand and to better solve it in terms of time, money, and resources.
  1. Process the Raw Data
Data is rarely used in its original form. It must be processed, and there are several ways to convert it into a usable format.
  1. Explore the Data
Once the data has been processed and converted into a usable form, Data Scientists must examine it to determine the characteristics and find out obvious trends, correlations, and more.
  1. Analyze the Data
To understand the data, they use a variety of tool libraries, such as Machine Learning, statistics and probability, linear and logistic regression, time series analysis, and more.
  1. Communicate Results
At last, results must be communicated to the right stakeholders, laying the groundwork for all identified issues.

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