SQL is the most underrated skill of a Data Engineer. It is used to pull required data points from the complex database of clients. You need to write long queries using joins to get the relevant data points.

Python is the backbone of Data Science. It is the most widely used language for DE. It’s very easy to learn compared to other languages and non-tech people can also learn it. You need not become an expert in it. You should mainly know how to manipulate data using it.

Tableau is a software that offers collaborative data visualization for organizations working with business information analytics. In this course we have covered tableau from basics to advance which will help any individual to clear data analyst interviews.

Microsoft Power BI is a business intelligence platform that provides nontechnical business users with tools for aggregating, analyzing, visualizing and sharing data. In our course we have covered all aspects of powerbi necessary to clear data analyst interviews with different case studies to showcase in your resume.

Excel is a spreadsheet program from Microsoft and a component of its Office product group for business applications. Microsoft Excel enables users to format, organize and calculate data in a spreadsheet. Its features calculation or computation capabilities, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications (VBA).

R is not widely used as compared to Python but still some companies use it. It’s very power when it comes to plotting variety of graphics. The Exploratory Data Analysis is done better with R as compared to python.

✅ What is Spark
✅ Spark comparison with Map Reduce
✅ RDD/DAG
✅ Immutability
✅ RDD Lineage
✅ Accumulators
✅ Spark Stages
✅ Spark on Yarn
✅ Spark Storge
✅ Intro to SparkSQL
✅ Handling columns in Dataframe/dataset
✅ Aggregations
✅ Window Aggregations
✅ Joins using Data Frame
✅ Broad Cast Join
✅ Shuffle sort-merge join
✅ Spark optimization
✅ Spark Streaming

✅ AWS EMR
✅ OnPrem vs Cloud
✅ HDFS vs S3
✅ What is S3
✅ EC2
✅ Elastic IP
✅ AWS storage, networking
✅ S3 and EBS
✅ Athena
✅ AWS Glue
✅ AWS Redshift

✅Introduction to Snowflake
✅Architecture
✅Loading Data
✅Copying Options
✅Loading Unstructured Data
✅Performance Optimization
✅Loading Data from Azure
✅Snowpipe
✅Snowpipe for Azure
✅Time Travel
✅Fail Safe
✅Type of Tables
✅Zero-Copy Cloning
✅Data Sharing
✅Data Sampling
✅Scheduling Tasks

✅ Introduction to Databricks
✅ Databricks Workspace Assets
✅ Databricks Architecture Overview
✅ DBFS Overview
✅ Data Utility in Databricks
✅ File System Utility
✅ Widgets Utility in Databricks
✅ Data Utility in Databricks
✅ Creating a Mount Point
✅ Mount Azure Blob Storage to DBFS
✅ Secret Utility in Databricks
✅ Access ADLS Gen2 Storage Using Account Key
✅ Access Data Lake Storage Gen2 or Blob Storage
✅ Access ADLS Gen2 or Blob Storage Using a SAS Token

✅ Introduction to GCP
✅ Bigquery
✅ Pub/sub

The LinkedIn Growth course teaches users how to build a strong and effective LinkedIn profile, grow their professional network, and use LinkedIn to find new career opportunities. The course covers a range of topics, including profile optimization, content creation, network building, and job search strategies, and is designed to help users improve their visibility and influence on the platform.

This course teaches you how to create a strong and effective resume that highlights your skills and experience, and how to tailor your resume to specific job postings. The course covers a range of topics, including resume formatting, keyword optimization, and cover letter writing, and is designed to help you stand out from other applicants in a competitive job market.

You will be learning about other online job portals hack that will increase your chances to getting call for interviews. It covers Naukri, AngelList, Hirect etc

The HR Round Interview QnA course can help you improve your chances of success. This online learning program covers a range of common interview questions and provides tips on how to answer them effectively. The course also includes information on how to prepare for an interview, how to make a positive first impression, and how to follow up after the interview.

Some companies keep first round as aptitude to check thinking skills. In this course we have covered aptitude topics with their examples which are widely asked in aptitude round of interviews. This course is divided into Quantitative, logical and verbal aptitude sections. It will help learners to build logic on all 3 levels of aptitude.

You will get recorded Interview Mock Sessions that will help you to understand the Interview Process and question types. It covers Python, SQL, Machine Learning, Statistics etc Mock Interview Session and we keep updating it.