About Data Analyst

  • OVERVIEW

    This Data Analyst Master’s program help trainees gain expertise in data analytics.  This training course help learners to master descriptive and inferential statistics,  regression analysis, hypothesis testing, data blending and forecasting. This course help trainees gain expertise in data visualization techniques using Power BI and Tableau and equip them with the knowledge and skills to organize data and design dashboards.

Tools Covered

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Data Analyst Learning Path

  • Lesson 1 - Introduction to Data Analytics

    Data Analytics for beginners course help trainees understand how to apply data and analytics principles in their businesses. This course provides learners with a holistic understanding of data analytics, data visualization, and data science methodologies.

  • Lesson 2 - Business Analytics with Excel

    Business Analytics using Excel course put trainees on a successful career path. This course equip trainees with skills in Excel and Power BI. It also showcases the implementation of these tools in Business Analytics.

  • Lesson 3 - Tableau Training

    Tableau Training & Certification 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 4 - Power BI

    Microsoft Power BI Training help trainees in mastering business analytics. This training provide learners with an in-depth understanding of the concepts like Power BI Desktop, Power BI DAX, Power BI Content packs, Power BI Q&A, Power BI Custom Visuals, Power BI Integrations with Azure Machine Learning and SQL.

  • Lesson 5 - Programming Basics and Data Analytics with Python

    Programming Basics and Data Analytics with Python course help trainees in understanding how to analyze data in Python using NumPy, use SciPy library of mathematical routines and perform machine learning. This course covers from the basics of Python to different types of data. This training equip learners with the knowledge and skills required to prepare data for analysis, create meaningful data visualizations and forecast future trends from data.

  • Lesson 6 - 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 7 - Data Analyst Capstone

    Data Analyst Capstone project provide trainees with the opportunity to implement the skills they learned in the Data Analyst master’s program. This project help learners in understanding how to solve a real industry based problem. This project is the final stepping stone in this Program.

  • Lesson 8 - Electives

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