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Home Courses HeroVired - Edx Harvard | Accelerator Programme in Business Analytics and Data Science

HeroVired - Edx Harvard | Accelerator Programme in Business Analytics and Data Science

Aligned with SSC NASSCOM | Future Skills Prime

Course Snapshot

  • FeeINR 2,50,000/- + GST
  • Work Experience2 - 30 Years
  • Duration10 Months
  • Delivery MethodOnline

Course Detail

About our program

Hero Vired's Business Analytics & Data Science Accelerator Program, developed in collaboration with edX and Harvard University, offers a comprehensive pathway to mastering the full spectrum of the data ecosystem. From Data Analytics to Data Science and Data Engineering, this robust curriculum is designed to equip you with the expertise to excel in every aspect of the data-driven world.

The program emphasizes hands-on learning with industry-leading tools and techniques. You'll gain proficiency in Excel, SQL, Databases, and Power BI, explore advanced platforms like Apache, Azure, Hadoop, and Cassandra, and master cutting-edge concepts such as Machine Learning, Deep Learning, and Neural Networks using Python. Real-world projects enhance your practical knowledge, ensuring you're ready to solve real business challenges.

Adding to its credibility, the program offers an additional certification aligned with SSC NASSCOM Competency Standards, approved by the Government of India, and accredited by the National Skill Development Corporation (NSDC). This ensures your training meets the highest industry standards and prepares you for a future-ready career.

Program Highlights:

  • Up to 90% live learning sessions.
  • Masterclasses by Industry Experts.
  • Gain hands-on experience with expert guidance.
  • Build Your Own Product Capstone Project.
  • Receive an additional certification from NASSCOM.
  • Develop business analytical and programming skills with Python and SQL.
  • Solve industry-relevant problems with Data Analysis and Predictive Modeling.
  • Participate in personal branding sessions and career assistance workshops.

Desired Candidate Profile

  • Bachelors degree in any discipline.
  • Minimum 2 years of experience in any domain.

Course Modules

Python Programming

  • Programming Basics
  • Complex Loops and Lambdas
  • File Handling
  • Data Scraping

Basic Mathematics

  • Maths for Data Analytics

Project: Pipeline

  • Building simple ETL pipeline

Excel

  • MS Excel Basics
  • MS Excel Advance
  • Macros and VBA

Database

  • SQL Basics
  • SQL Advance
  • Relating data using SQL
  • SQL Analytics
  • MongoDB
  • Apache Cassandra

Project: Manipulation from SQL

  • SQL and Excel

Python for Data Analysis

  • Data Analysis Using Pandas and Numpy
  • Datetime and Indexing

Data Analysis & Visualization using Excel

  • Data Analysis and Visualization

Statistical Analysis

  • Performing Descriptive Statistics with Python
  • Data Visualization with Python
  • Probability Distributions
  • Hypothesis Testing
  • ANOVA, Hypothesis Tests, and p-values
  • Probability Basics & Frequency Distributions

EDA (Exploratory Data Analysis)

  • Performing EDA with Python

PowerBI

  • Introduction to Power BI
  • Dashboarding and Storytelling with Power BI
  • Data Slicing and Dicing Using DAX Query

Project Data Analytics

  • Comprehensive Data Analytics Project

GenAI

  • GenAI Data Analysis

Apache Spark

  • Apache Spark Essentials

Azure for Big Data

  • Azure Fundamentals
  • Azure for Data Analytics

Machine Learning

  • Introduction to Machine Learning
  • Data Pre-processing
  • Linear and Polynomial Regression
  • Classification
  • Model Evaluation and Selection
  • Unsupervised Learning: Clustering

Deep Learning

  • Introduction to Deep Learning
  • Building Neural Networks with TensorFlow and Keras

Business Problem Solving

  • Industry Case Studies & architecture

Project: Building Model

  • Building Model