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Course Highlights

🧠 In-Depth Curriculum

💻 100% Practical Training

📊 Weekly Learning Plan

🧩 Capstone Project

👨‍🏫 Mentor Support

🎓 Career Assistance

Data Analytics Using Power BI
Duration 3 Months

WEEK 1

Introduction to Data Science

  • Distributed Storage & Processing Fundamentals
  • Overview of the field of data science
  • The data science process and its importance
  • Data types and data sources
  • Tools & technologies: Python, Jupyter Notebooks
  • Setting up the environment (Anaconda, packages)
  • Activities: Installing Anaconda & Python, using Google Colab

WEEK 2

Data Collection and Sources

  • Structured vs. unstructured data
  • APIs, web scraping, databases
  • Libraries: requests, Beautiful Soup, Scrapy
  • Data ethics & best practices
  • Activities: Collecting data from public APIs, web-scraping practice

WEEK 3

Data Cleaning and Preparation

  • Handling missing data, outliers & duplicates
  • Transformation (scaling, normalization)
  • Encoding categorical data
  • Activities: Cleaning datasets with Pandas, encoding practice

WEEK 4

Exploratory Data Analysis(EDA)

  • Descriptive statistics: mean, median, std dev
  • Visualization basics with Matplotlib & Seaborn
  • Finding patterns, correlations, outliers
  • Activities: EDA on real-world dataset, visualization summary

WEEK 5

Data Visualization

  • Principles of data visualization
  • Advanced plotting with Matplotlib & Seaborn
  • Interactive visuals with Plotly & Dash
  • Visual storytelling best practices
  • Activities: Build interactive dashboards

WEEK 6

Introduction to Statistics

  • Probability & probability distributions
  • Hypothesis testing, p-values, significance levels
  • Confidence intervals
  • Visual storytelling best practices
  • Activities: Statistical analysis & hypothesis tests

WEEK 7

Regression Analysis

  • Simple & multiple linear regression
  • Evaluation metrics: R², MSE, RMSE
  • Assumptions & diagnostics
  • Activities: Build regression models in Python

WEEK 8

Classification and Clustering

  • Classification: logistic regression, decision trees
  • Clustering: k-means, hierarchical methods
  • Use-cases & differences
  • Activities: Build regression models in Python

WEEK 9

Working with Big Data

  • Big Data concepts & challenges
  • Hadoop ecosystem overview
  • SQL & NoSQL basics
  • Intro to Apache Spark
  • Activities: Querying with SQL, using PySpark

WEEK 10

Capstone Project Preparation

  • Choosing project topics & data sources
  • Proposal creation & team formation
  • Project management & deliverables
  • Activities: Present project proposals, initial exploration

WEEK 11-12

Capstone Project Work

  • Project development & mentor feedback
  • Analysis, modelling & visualization
  • Peer review sessions

WEEK 13

Capstone Presentations & Review

  • Final project presentations
  • Peer evaluations & feedback
  • Course review & reflection

Power Module

  • Apache Spark Project
  • Top Apache Spark Interview Questions
  • Data Structures & Algorithms

Profile Optimisation

  • Resume Building
  • LinkedIn Optimisation
  • Naukri Profile Optimisation

M1 Completed

START GIVING INTERVIEWS

WEEK 1 – 3

  • Big Data – The Big Picture
  • Distributed Storage & Processing Fundamentals

WEEK 4 - 9

  • Apache Spark In-Depth

WEEK 10 - 11

  • Apache Spark Optimizations

WEEK 12 - 13

  • Apache Spark Optimizations

Course Fee

For Students accessing the course from India

(Duration: 7 Months – Validity: 2 Years)

Data Science (AI/ML) Payment Link with 15% Discount:

Data Analytics using PowerBI Payment Link with 15% Discount:

Azure Data Engineering Payment Link with 15% Discount:

FullStack Python payment Link :
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Our Students Placed In

Our Alumni work at eminent Big data companies and progressive Startups

Students Say’s About Our Institute

Our Students Testimonials

Harikrishna K.

I attended MSBI(SSIS,SSAS),SQL Server ,Power BI ,Data Warehouse Courses by Under Bhaskar Jogi Sir Training. Bhaskar ,for MSBI and power BI learners very good platform Go online Trainings Institute .I learned a lot from Bhaskar sir’s teaching ,Thank You So Much Sir.

Arjun Sudheer

I am really impressed with the way Bhaskar sir teaches each and every concept! He is very passionate about teaching and that can be experienced with the way he teaches each topic, with his teaching anyone can learn any technology with ease! He teaches each and every concept .

Rajsekhar Koneru

I have completed power bi ,SQL server, Data Warehouse and SSIS with Bhaskar Jogi sir. The training is fabulous. I never seen this kind of training in my life. Thanks a lot Bhaskar sir. I recommend this training to all students who wanted a job in IT sector.

Sai Kumar Reddy

Am attending the PBI, DWH, SQL Server by Bhaskar Jogi Sir. I strongly recommend this course and the teaching by Bhaskar Jogi is very easy to understand with real time case study. Even non IT people can learn with the teachings of Bhaskar Jogi and get into the IT Industry.

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