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Large number of IT companies spread across World, you should not have any doubt on shortage of Data Science jobs. IT technologies is growing and there a huge demand for Data Science engineers. Data Science has more than 70% of the markets share in terms of providing services. – PowerPoint PPT presentation

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Title: Siddharthvk (16)


1
Data Science with Python Certification Training
Course With Placement Assurance
www.apponix.com
2
Data Science Course Objectives
  • Python full coding from scratch
  •  Visualization with Python
  •  Statistics - theory and application in business
  •  Machine Learning with Python - 6 different
    algorithms
  •  Multiple Linear regression
  •  Logistic regression
  •  Variable Reduction Technique - Information Value
  •  Forecasting - ARIMA
  •  Cluster Analysis
  •  Decision Tree
  •  Random Forest
  •  Case studies on Machine Learning (18 case
    studies)
  •  SQL queries(with Python)
  •  Business Presentation of Technical Solution
    in-front of end client.
  •  Robotic Automation(with Python)
  •  CV Building activities
  •  Interview preparation
  •  Mock Interview sessions

www.apponix.com
3
Salary expectation after completing Data Science
course
  • As there is a growing demand for Data Science
    Engineers, the salary is also constantly
    increasing for Data Science skills,As per
    payscale.com Average salary for Data Scientist is
    Rs 9,12,453 Per year.

www.apponix.com
4
Career after Data Science course
  • Large number of IT companies spread across World,
    you should not have any doubt on shortage of Data
    Science jobs. IT technologies is growing and
    there a huge demand for Data Science engineers.
    Data Science has more than 70 of the markets
    share in terms of providing services.

www.apponix.com
5
Data Science Job Responsibilities
  • Modify existing databases and database management
    systems (DBMS) or instruct programmers and other
    analysts to make essential changes.
  • Write and code logical and physical database
    descriptions and specify identifiers of database
    to management system or direct other colleagues
    in coding descriptions.
  • Review project requests describing database user
    needs to estimate time and cost required to
    accomplish project.
  • Review data results to ensure accuracy. Configure
    data visualizations for stakeholders
  • Provide data analysis and standard reporting
    support, which includes the ability to extract
    data from various sources and data stores by
    executing light business coding (SQL, VBA, Unix,
    etc.) and system parameter setting, perform
    ad-hoc queries and develop/automate
    financial/statistical models using a variety of
    known software applications and tools (Excel,
    Access, etc.)
  • Support the use of data science and machine
    learning within the various PSE engineering
    DevOps teams.
  • Manipulate and analyze complex, high-volume,
    high-dimensionality data from varying sources
    using a variety of tools and data analysis
    techniques
  • Translates business requirements throughout the
    development process, delivers solutions in
    accordance with business strategies, standards,
    and processes.
  • Develop business cases for RD initiatives,
    provides expert advice to product managers,
    developers, architects and business partners on
    data science use cases and options.
  • Architect highly scalable distributed systems,
    using different open source tools.
  • Working with lambda architectures and batch and
    real-time data streams.
  • Understand high performance algorithms and Python
    statistical software and brief team.

www.apponix.com
6
Office address
  • Head Office - Bangalore
  • 306, 10th Main, 46th Cross, 4th Block
    Rajajinagar, Bangalore - 560010
  • M 91 8050580888
  • info_at_apponix.com

www.apponix.com
7
www.apponix.com
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