Data Analytics with BI & Big Data Engineering Master Program

This course is tailored to make you a highly skilled Data Analyst with extensive knowledge of Business Intelligence and Big Data.
Job Readiness | Career Guidance and Support | Industry Certifications | Flexible Learning Schedule

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Our Placements

Our Students Who Have landed Their Dream job In

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vistaar
sp-ultraflex
marqetrix
raw-engineering
galentic
tech-cryptors
axiom
medi-venturz
aryan-technologies
credility
idfy
testriq

Sessions

55 Lectures

Duration

110 Hrs

Placement

100% Assurance*

Job CTC

Upto 8 LPA*

Sessions

55 Lectures

Duration

110 Hrs

Placement

100% Assurance*

Job CTC

Upto 8 LPA*

Download Brochure

LAND YOUR DREAM JOB

BIDeveloper

Dive deep as a BI Analyst at analytics-driven companies like Tableau

Data Visualization
KPI Tracking
Dashboard Dev.
Data Interpretation
Big Data Engineer

Architect the future as a Big Data Architect at cloud computing leaders like Google Cloud

System Design
Infra. Scalability
Data Modeling
Data Governance
DevOpsEngineer

Engineer success as a Data Engineer at innovative tech firms like Spotify

ETL Processes
Live Processing
Data Warehousing
Database Mgmt.
Data Strategy Consultant

Strategize as a Data Strategy Consultant with global strategy firms like McKinsey & Company

Data-Driven Decision
Analytical Framew.
BI Solutions
Client Advisory

Make You Industry-Ready

EXCLUSIVE CAREER

Why Join Us?

Hands-On Training

Experience our interactive, hands-on teaching approach through a free course demo.

Industry-Leading Mentors

Learn from seasoned professionals who have pioneered advancements in their industries.

Job Readiness

Receive personalized career guidance and placement assistance.

Tools and technologies

PowerBI
Python
Probability-Statistics
Excel
Matplotlib
Seaborn
Tableau
ggPlot
MySQL
Hive
Apache-Pig
Databricks
PostgreSQL
Hadoop
Apache-Spark
Apache-Sqoop
Linux
Big-Data
Apache-Pyspark
Apache-Hbase
Cloudera

Expert-Designed Course Structure

Hands-on training with real-world projects.

Gain practical experience by working on industry-relevant projects under expert guidance.

Training From Industry Leading Mentors

Learn from seasoned professionals who have pioneered advancements in their respective fields.

Career guidance and placement assistance.

Receive personalized support to sharpen your job search skills and secure rewarding opportunities.

Flexible learning option

Choose from online or on-premise training modes to suit your preferences and lifestyle.

1:1 Live Sessions

Live one-on-one training assistants via video call, chat and on-site with problem and solution guidance.

Comprehensive Curriculum

Master a wide range of concepts and techniques through a meticulously designed and up-to-date curriculum.

OUR CURRICULUM

Our Interactive Course Content

Tableau

What Is Data visualization?
 

  1. What Is Business Intelligence?
  2. Why Business Intelligence?
  3. Tools used for Business Intelligence

  1. Data Connection
  2. Tableau Interface and 14 Basic Chart Types
  3. Dimensions and measures

  1. Working with Metadata
  2. Calculated field
  3. Bins and parameters
  4. Mapping
  5. Calculations

Customer segmentation project

 

  1. Group
  2. Clustering
  3. Forecasting

PowerBI

  1. M- code and applied steps
  2. How to load data from csv, excel
  3. Load data from folder
  4. Conditional columns
  5. Transform vs add column

  1. What are PowerBI relationship
  2. Model View
  3. Star vs snowflake model
  4. Bi- directional filters

  1. Calculated columns vs measure
  2. Implicit vs explicit measure
  3. SUMX()
  4. Calculate()
  5. ALL()
  6. Date time functions

  1. Matrix
  2. KPI
  3. Line chart
  4. Forecasting
  5. Gauge
  6. Maps

Visualization

  1. Plot Styles & Settings
  2. Line Plot
  3. Multiline Plot
  4. Matplotlib
  5. Subplots
  6. Histogram
  7. Boxplot
  8. Pie Chart
  9. Scatter Plot

  1. Strip plot
  2. Distribution plot
  3. Joint plot
  4. Violin plot
  5. Swarm plot
  6. Pair plot
  7. Count plot
  8. Heatmap

  1. Introduction to GGplot2
  2. Histogram
  3. Boxplot
  4. Pie Chart
  5. Scatter Plot

Excel

  • 1. Pivot, filter and freeze
  • 2. Data visualization using Excel
  • 3. Statistics using Excel

SQL Fundamentals

  1. The SELECT Clause
  2. The WHERE Clause
  3. The AND, OR, and NOT Operators
  4. The IN Operator
  5. The BETWEEN Operator
  6. The LIKE Operator
  7. The REGEXP Operator
  8. The IS NULL Operator
  9. The ORDER BY Clause
  10. The LIMIT Clause
  11. The GROUP BY Clause
  12. The HAVING Clause

  1. Arithmetic Operators
  2. Concatenation Operator
  3. Comparison Operators
  4. Relational Operator
  5. Logical Operator
  6. Special Operator

  1. INNER JOINS
  2. JOINING ACROSS DATABASES
  3. SELF JOINS
  4. JOINING MULTIPLE TABLES
  5. COMPOUND JOIN CONDITIONS
  6. IMPLICIT JOIN SYNTAX
  7. OUTER JOINS
  8. OUTER JOIN BETWEEN MULTIPLE TABLES
  9. SELF-OUTER JOINS
  10. THE USING CLAUSE IN JOINS
  11. NATURAL JOINS
  12. CROSS JOINS
  13. UNIONS

  1. CREATE
  2. RENAME
  3. ALTER
  4. TRUNCATE
  5. DROP

  1. INSERT
  2. UPDATE
  3. DELETE

  1. COMMIT
  2. ROLLBACK
  3. SAVEPOINT

  1. GRANT
  2. REVOKE

Linux (Duration: 6 Hours)

  1. Installing and understanding linux
  2. VMware
  3. Redhat vs Ubuntu

  1. Ubuntu directories
  2. Ubuntu commands

Big Data & Hadoop

  1. Big Data definition
  2. Volume, Velocity and variety

  1. Hadoop installation
  2. Modes of Hadoop installation
  3. Hadoop installation directly using Cloudera QuickStart VM
     
     

  1. HDFS
  2. MAPReduce
  3. Yarn
  4. Hadoop 1.0 vs Hadoop 2.0 vs Hadoop 3.0

  1. Hive (HiveQL)
  2. Pig (PigLatin)

  1. Sqoop
  2. Hbase

Spark

  1. Overview of Big Data and Spark
  2. Introduction to Databricks
  3. Setting up Databricks Environment

  1. RDDs (Resilient Distributed Datasets)
  2. Transformations and Actions
  3. Caching and Persistence

  1. Introduction to Spark SQL
  2. Working with Data Frames
  3. SQL Queries in Spark

  1. Broadcast variables and accumulators
  2. Setting up a Spark application with Scala
  3. Working with key-value pairs in Spark

  1. PySpark machine learning library (MLlib)
  2. Integrating PySpark with external libraries

AAA Accreditation

American Accreditation Association (AAA) accredited Training and Education Provider

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ACTD_logo

American Council of Training and Development (ACTD) Accredited Professional Training Institution

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Land your Dream Jobs
In Companies Like

Amazon
Byjus
Canva
Flipkart
Infosys
PayTM
Razorpay
Swiggy
TCS
Zomato

Experience the CDPL
Training Approach

Video CoursesBootcampsCDPL
Real work experience✖✖✔
True, project-based learning✖✖✔
Live sessions & mentorship✖✔✔
Job-ready portfolio✖✖✔
Externship with top companies✖✖✔
Career guidance✖✔✔
Placement Assurance✖✖✔

Eligibility

Undergraduates

This course is structured for any undergraduate or job seeker who wants to start his career in Data Analytics, Big Data or Business Intelligence field.

Graduates

Any Fresh graduate or post-graduate looking to secure a career in the IT domain.

Professionals

Any working professional with experience in the non-IT domain and looking to enter the IT field.

Our Process

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1
Onboarding Session Onboarding Session Hover

LIVE Learning

Experience Immersive Learning Through Our Live Classrooms

2
Live Learning Live Learning Hover

Onboarding Session

Kick-start Your Learning Journey with Our On-boarding Session

3
Certification & Placement Support Certification & Placement Support Hover

Certification & Placement Support

Certification to Career: Let Us Guide Your Path to Success

Get Course
  • Get free demo session
  • Online Sessions
  • Hands on session
  • Placement Assurance*

Unanswered Questions?

We're Here to Assist.

Contact Us
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Get Course
  • Get free demo session
  • Online Sessions
  • Hands on session
  • Placement Assurance*

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Years of Industry Experience

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