WikQik

Data Science Masters Program

6 months

Starts 01/08/2021

Data Science Masters Program

WikQik has joined hands with one of IBM’s biggest IT companies to provide students with a Master’s degree in Data Science. Industry experts design the program to help students acquire true knowledge and practical experience in the data science field to be ready as per the industry needs.

In this course, students will learn basics and advanced ideas and methods of data science, namely simulation, data mining, data analysis, data visualization, database inquiry, big data basics methodologies, etc. Attendees will also learn about machine learning data algorithms, data optimization, and solutions for issues occurring due to data storage. The purple behind starting the program is to provide students and professionals with the preparations and certification, which can help them get a high-paying job as the most demanded profile in the IT world nowadays.

Data Science Masters Program

WikQik has joined hands with one of IBM’s biggest IT companies to provide students with a Master’s degree in Data Science. Industry experts design the program to help students acquire true knowledge and practical experience in the data science field to be ready as per the industry needs.

In this course, students will learn basics and advanced ideas and methods of data science, namely simulation, data mining, data analysis, data visualization, database inquiry, big data basics methodologies, etc. Attendees will also learn about machine learning data algorithms, data optimization, and solutions for issues occurring due to data storage. The purple behind starting the program is to provide students and professionals with the preparations and certification, which can help them get a high-paying job as the most demanded profile in the IT world nowadays.

Data Science Masters Program

6 months

Starts 10/06/2021

Program Features

As per your convenience

Weekday or weekend; morning or evening. Multiple options for everyone

Never miss a class

You can always switch to another batch, depending upon your availability.

Lifetime Access

You'll have the keys to all our presentations, quizzes, lessons. All for a lifetime!

Personal Learning Manager

A human, who is Ridiculously Committed to answer all your queries.

Job outlooks

2.7 Million Career Opportunities

estimated for Data Science and analytical roles in 2020.

Salary Trend

Jobs requiring Data Science skills are paying an average of $114,000. Advertised data scientist and data engineering jobs pay an average of $105,000 and $117,000 respectively.

28 % Annual Growth

in job opportunities for data scientists, data developers and data engineers, across the globe.

Avg. salary of a Data Scientists is around $139,000 per annum

Duration: 6 Months

No Cost EMI Available

15+ Projects

Program fees

₹ 55,900

Easy EMI Available | Guaranteed Placements in Top FAANG Companies *

With a course fee of 55,900/- Data Science Masters Program  by WikQik is a must’ve for everyone. Hurry Up!

Already a bunch of people has chosen it. What are you still thinking? Get Enrolled soon! 

5/5

Not sure? Talk to our advisors

Master course certification

Data Science Masters Program makes you proficient in tools and systems used by Data Science Professionals. It includes training on Statistics, Data Science, Python, Apache Spark & Scala, Tensorflow and Tableau. The curriculum has been determined by extensive research on 5000+ job descriptions across the globe.
 

Data Science Master Course Curriculum

  • Module 1: Understanding the Data 
  • Module 2: Probability and its uses
  • Module 3: Statistical Inference
  • Module 4: Testing the Data
  • Module 5: Data Clustering
  • Module 6: Regression Modelling
  • Module 1: Understanding the Data 
  • Module 2: Probability and its Uses
  • Module 3: Statistical Inference
  • Module 4: Testing the Data
  • Module 5: Data Clustering
  • Module 6: Regression Modelling
  • Module 1: Introduction to Data Science 
  • Module 2: Statistical Inference
  • Module 3: Data Extraction, Wrangling and Exploration
  • Module 4: Introduction to Machine Learning
  • Module 5: Classification Techniques
  • Module 6: Unsupervised Learning
  • Module 7: Recommender Engines
  • Module 8: Text Mining
  • Module 9: Time Series
  • Module 10: Deep Learning
  • Module 1: Introduction to Python 
  • Module 2: Sequences and File Operations
  • Module 3: Deep Dive – Functions, OOPs, Modules, Errors and Exceptions
  • Module 4: Introduction to NumPy, Pandas and Matplotlib
  • Module 5: Data Manipulation
  • Module 6: Introduction to Machine Learning with Python
  • Module 7: Supervised Learning – I
  • Module 8: Dimensionality Reduction
  • Module 9: Supervised Learning – II
  • Module 10: Unsupervised Learning
  • Module 11: Association Rules Mining and Recommendation Systems
  • Module 12: Reinforcement Learning
  • Module 13: Time Series Analysis
  • Module 14: Model Selection and Boosting
  • Module 1: Introduction to Big Data Hadoop and Spark 
  • Module 2: Introduction to Scala and Apache Spark
  • Module 3: Functional Programming and OOPs Concepts in Scala
  • Module 4: Deep Dive into Apache Spark Framework
  • Module 5: Playing with Spark RDDs
  • Module 6: DataFrames and Spark SQL
  • Module 7: Machine Learning using Spark MLlib
  • Module 8: Deep Dive into Spark MLlib
  • Module 9: Understanding Apache Kafka & Apache Flume
  • Module 10: Apache Spark Streaming- Processing Multiple Batches
  • Module 11: Apache Spark Streaming- Data Sources
  • Module 12: In Class Project
  • Module 13: Spark GraphX(Self-Paced)
  • Module 1: Introduction to Deep Learning 
  • Module 2: Getting Started with TensorFlow 2.0
  • Module 3: Convolution Neural Network
  • Module 4: Regional CNN
  • Module 5: Boltzmann Machine & Autoencoder
  • Module 6: Generative Adversarial Network(GAN)
  • Module 7: Emotion and Gender Detection
  • Module 8: Introduction RNN and GRU
  • Module 9: LSTM
  • Module 10: Auto Image Captioning Using CNN LSTM
  • Module 1: Data Preparation using Tableau Prep 
  • Module 2: Data Connection with Tableau Desktop
  • Module 3: Basic Visual Analytics
  • Module 4: Calculations in Tableau
  • Module 5: Advanced Visual Analytics
  • Module 6: Level of Detail (LOD) Expressions in Tableau
  • Module 7: Geographic Visualizations in Tableau
  • Module 8: Advanced Charts in Tableau
  • Module 9: Dashboards and Stories
  • Module 10: Get Industry Ready
  • Module 11: Exploring Tableau Online

Like the Curriculum?

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Testimonial reviews

FAQ

The field of data science is one of the most popular fields in the IT industry. Enrolling in the masters program in data science will definitely give a boost to your career and will help you in getting a high paying data scientist job.

Yes the master’s degree is similar to a post graduation degree. However, the course duration is less than the duration of post graduation.

Students and professionals with the interest of data science can apply into this program.

Yes, the program is designed with the perspective that students will get ready for the data science job as per the current industry standards.

The average salary of a data scientist is $139,000 per annum.

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