About Data Scientist


    This Data Scientist Master’s program offers an extensive training on Data Science with a blend of online instructor-led classes and self-paced training. This course provide learners with the knowledge and skills in statistics, hypothesis testing, data mining, decision trees, clustering, data wrangling, data visualization, regression models, Hadoop, Spark, supervised, and unsupervised learning and more. The program concludes with a capstone project for a practical understanding of the subject.

Tools Covered

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Data Scientist Learning Path

  • Lesson 1 - Data Science with R Programming

    Data Science with R Certification help trainees gain expertise in data analytics using the R programming language. This course provides learners with an in-depth understanding of data visualization, predictive analytics, and descriptive analytics techniques, R packages, Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest and Naive Bayes using R.

  • Lesson 2 - Data Science with Python

    Data Science with Python course provide trainees with an in-depth of the basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. This training teaches learners use libraries like pandas, numpy, matplotlib, scikit. This course help trainees master different concepts like Python machine learning, sequence and scripts.

  • Lesson 3 - Machine Learning

    Machine Learning Course provide trainees with an in-depth understanding of the concepts of Machine Learning and its implementation in Python programming language. This training also help learners in understanding the concepts of Reinforcement Learning, Regression, Classification, Time Series Analysis. This course also showcased the various different use cases of Machine Learning in Python.

  • Lesson 4 - Tableau Training

    Tableau Training course provide trainees with an in-depth knowledge on Tableau Prep Builder, Tableau Desktop, and Tableau Online. This course offer learners the opportunity to work on real-life industry use cases in Retail, Entertainment, Transportation and Life Sciences domains to increase their skills in practical implementation.

  • Lesson 5 - Big Data Hadoop and Spark Developer

    Big Data Hadoop  and Spark Developer course provide trainees with an in-depth understanding of Big Data and Hadoop Ecosystem tools like HDFS, YARN, MapReduce, Hive, Pig, HBase, Spark, Oozie, Flume and Sqoop. This course help trainees to learn how multiple Hadoop ecosystem components work to solve Big Data problems.

  • Lesson 6 - Data Science Capstone

    Data Science Capstone project provide trainees with an opportunity to implement the skills they learned in the Data Scientist Master’s Program. This project equip learners with the skills to solve a real-world, industry based data science problem. The project is the final stepping stone in the Data Scientist Master's Program.

  • Lesson 7 - Electives

    • SQL Training
    • Industry Master Class – Data Science
    • R Programming for Data Science
    • Python for Data Science