Envision Learning provides data analyst coursesĀ in the field of data analysis, focusing on techniques and tools used to extract insights and make informed decisions based on data.
Envision Learning provides data analyst courses in the field of data analysis, focusing on techniques and tools used to extract insights and make informed decisions based on data.
These courses cover a wide range of topics, including statistical analysis, data visualization, data mining, machine learning, and predictive modeling. They are designed to equip students with the skills and knowledge necessary to work with large datasets, analyze patterns and trends, and communicate findings effectively.
Software Development Life Cycle
Waterfall
Agile
Project life cycle
Requirement, documentation, and walkthrough
Database and SQL
Introduction to Relational database
Basics of SQL
Advanced SQL e.g joining tables for data, subqueries, common table expressions
ETL
Source to target mapping
Different database vendors
Mastery in Excel
Introduction to Excel
Pivot tables in Excel
Different file types
Aggregation, functions and cleansing process within Excel
Charts and statistical modelling using Excel
Data Analysis with Python and R programming
Basics of python, Python data structures and functions
Python for data analytics
Data Wrangling with Python
Jupyter fundamentals
Pandas, Matplotlib, Numpy, SciPy, PySpark, and API
Combining and exporting data
Data visualization using python
Excel reporting
Data visualization using PowerBI or Tableau
Intro to data visualization
Visual design basics and Tableau/Power BI
Different charts
Storytelling with data presentations
Presentation findings to stakeholders
Big Data
Introduction to Big Data
Introduction to Cloud
Data mining and data warehouse
Data computation
Predictive analysis
Intro to Hadoop and MapReduce
Intro to Machine Learning
Additional
Version Control: Git
Live Project
Interview Preparation
Conduct Mock Interviews
After 12 years in the IT industry, we decided to alter direction. Now, we share our experience to help others. Our ramp-up process is designed to empower you technically and equip you with the tools you need to succeed.
Our service includes comprehensive training to help you get trained in software QA, automation testing, and business analysis. We believe in training while working hands-on with the actual tools that are widely used in the IT industry.
Our experienced trainers are ready to help you! We have the highest placements because we are good at it. Call us today and discuss how we can help you with the job placement.
Taking ML models from conceptualization to production is typically complex and time-consuming. You have to manage large amounts of data to train the model, choose the best algorithm for training it, manage the compute capacity while training it.
You will discover how to differentiate offline and online training and predictions, automated machine learning, and how the cloud environment affects machine learning functions. Additionally, you will explore some of the most significant areas in the field of machine learning research.
The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, the Azure Machine Learning service, to automate the data science pipeline.
Learn how to use notebooks and scripts to train machine learning models and use Azure Machine Learning services to assess data, manage compute, track training models, implement Responsible AI principles, and deploy models to endpoints.
This is aworkshop that is a prerequisite for the Lip Blush Class, Eyeliner Class and Power, Ombre, Nano Brow Class
Ā© 2025 coursetakers.com All Rights Reserved. Terms and Conditions of use | Privacy Policy