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Description

The job of a Data Scientist is quite Fascinating, has a lot of interesting aspects and comes with its own share of challenges. Data science is constantly shaping the world. It not only focuses on employee attrition prediction but also comprehends the variables that determine employee turnover.Data science plays a key role in providing genomic data which further provides a deeper understanding of genetic issues and reaction to particular drugs and diseases. It also finds a big role in logistics as it aids in identifying the best time, transport and routes for shipping thus achieving cost efficiency. Furthermore, airlines companies are benefiting from data science as they are able to predict flight delays and can notify the passengers in order to enhance their travel experience. Therefore it is a most sought after course today. To achieve excellence and expertise in this field one must start with the fundamentals and can slowly climb up the ladder.


OBJECTIVES OF DSF (DATA SCIENCE FUNDAMENTAL) :

  1. The Data Science Fundamental certification Training deals with the basics related to Data science which further helps you to understand the data structure better.
  2. The course focuses on the understanding of the terminologies related to data science and also provides you with insight into the identification of the Business problems.
  3. Get familiar with the Data Acquisition process. Learn how to conglomerate data from various sources like web servers, logs, databases, APIs, online repositories, etc.
  4. Learn about Data Preparation which consists of Data Cleaning and Data Transformation. The course lets you deal with inconsistent data types, misspelt attributes and missing and duplicate values.
  5. You will also get insight into Data transformation processes and practices. Get to know how Talend and Informatica tools are used for complex transformation of the unstructured data into structured ones.


ELIGIBILITY FOR DSF (DATA SCIENCE FUNDAMENTAL) :

Profound knowledge of Machine learning, Mathematical modelling, computer programming and databases would be beneficiary.

COURSE HIGHLIGHTS

  1. The DSF certification training is of 8 hours in total.
  2. Softcopies of books along with sample papers and mock test papers
  3. Get self paced e learning free with instructor-led online live virtual classroom training.
  4. Around the clock assistance is provided to all the participants.
  5. The live virtual sessions are automatically recorded and the recordings are shared with all the learners.


WHY CHOOSE CAREERERA?

  1. The classes at Careerera folllow a structured paradigm, moving from foundational level to the advance.
  2. We select only well qualified and experienced trainers as far as teaching is concerned.
  3. We also offer a demo session to the interested candidates.
  4. Refunds are generated if candidates are not satisfied with the sessions.

Curriculum

  • Sl. No.
  • Chapter
  • Chapter - 1
  • What is Data Science?
  • Chapter - 2
  • Introduction to Programming in Python
  • Chapter - 3
  • Python for Data Science (Data Cleansing, Manipulation, and EDA)
  • Chapter - 4
  • Probability and Statistics In Data Science
  • Chapter - 5
  • Introduction To SQL Programming
  • Chapter - 6
  • Statistical Methods for Decision Making
  • Chapter - 7
  • Database Management Systems
  • Chapter - 8
  • Introduction To Machine Learning
  • Chapter - 9
  • Time Series Forecasting-Basic Knowledge
  • Chapter - 10

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