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Switch career to Data Analytics with Job guarantee

8 months course with:

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1-1 mentorship

From scratch

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start

22nd
May

5,0

4,9

5,0

4,2

Our honest job-guarantee policy

We are confident about our program and will return you money if you don't find a job

We can guarantee the result only in return for your real efforts, hard work, and dedication.

So, here is what we expect from you in return:

Completion of all modules and projects by deadlines

Attending live sessions and project reviews

Completion of Career center’s assignments on time

Passing the midterm and final exams

Become one of the 20,000 students who work in

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What is inside 8 months course

Python
Python is a universal programming language. It has simple and versatile syntax, which allows you to learn it in a relatively short time. Instagram, Dropbox, Uber, Spotify and other apps made with Python. Our course will help you to master this language for back-end development

Google Sheets
Spreadsheet software like Excel or Google Sheets are widely used tools for analyzing data. Google Sheets allows users to edit, organize, and analyze different types of information as well as allows collaborations, and multiple users can edit and format files in real-time.

SQL
SQL is the standard language for dealing with Relational Databases. Data analyst can use SQL to access, read, manipulate, and analyze the data stored in a database and generate useful insights to drive an informed decision-making process.

Power BI
Power BI is an interactive data visualization software product developed by Microsoft. Power BI allows users to see and share data and insights throughout their organization.

Python
Python is a universal programming language. It has simple and versatile syntax, which allows you to learn it in a relatively short time. Instagram, Dropbox, Uber, Spotify and other apps made with Python. Our course will help you to master this language for back-end development

job applications

3

Live sessions
/week

assignments

1500+

300+

career sessions

10

Don't miss your chance to become an in-demand Data specialist and restart your career in 2022!

93%

of our students get employed

Achieve success with our human-powered approach

Become a part of vibrant community with:

Regular calls

Group project work

Live sessions

Get personalised help from mentors

Book a 1-1 video call

Tag your mentor and receive fast feedback via chat or

Take practice sessions with a Career coach

Get referred to our Hiring partners

Prepare for Screening and technical interviews Live sessions

Optimise your CV and Linkedin

We will take you by the hand and lead to guaranteed result

Amitava Chowdhury

Before the course, I worked as a program manager and felt my job did not bring me professional growth and happiness. During the Data Analytics course, I got the necessary hard and soft skills to enter the dynamic Data industry. Thanks to the individual approach of the Career Service, I received 3 offers within 2 months and accepted an offer with a 40% hike. Finally, I enjoy my job and feel that I bring impact to the business!

Applied for 1000+ vacancies with Career centre

Honed job interview skills during 10+ mock interview sessions

Polished CV and Linkedin with Career coach

Learned Google Sheets, SQL, Power BI and Python on project-based assignments

How Amitava switched to his dream career with us

After:
Data Analyst with 40% salary hike

Before:
Program Manager

Real projects that you will build with your peers

Here are some examples:

Large raw data of million records were fetched from the YouTube channel and dumped on SQL DB to do meaningful analysis about trending videos in YouTube. Data normalization was done as the dataset had multiple entities(tables) and huge records. Various advanced SQL techniques like SQL Joins, subqueries, Windows functions, Pivot table, Groupby, etc were used to do advanced analysis.

Domain: Video analytics (YouTube)

In-depth analysis and visualization of various loan-related data of the customer forecast their defaulter status based on their credit history, education, dependants, etc. Additionally, the GDP of the country and unemployment rate were also used to find out the statistical correlation. The use of statistics and Power BI visuals helped to find meaningful insights from the data.

Domain: Banking (BFSI)

Extracted payroll data from various sources for the company, transformed using Power BI functions like DAX, Aggregation, etc using Power query. Designed interactive dashboards to view correct metrics (PPC - Per Payslip Costs) for various platforms for the leadership team to identify and improve the process and automate the payroll manual reports reducing defects and increasing efficiencies. Additionally performing Text analytics on customer surveys and analyzing pre-defect scenarios and highlighting them for respective countries’ regional managers.

Domain: HR Analytics

In this supply chain project, the supplied volume and invoice level details of all vendors(tier 1 and tier 2) for each part procured, weight and quantity, MSME type, and other categorical information were analyzed with an insightful dashboard for a Procurement Department make better supply chain strategic decisions in Power BI. The purpose of the analysis is to identify the Procurement trends, Supplier limitations, Product based supplier consolidation, and minimize cost impact to the company.

Domain: Supply Chain

The global health of countries’ data of the past 15 years for 193 countries was analyzed in Python using Pandas and visualized using matplotlib and seaborn. This dataset was primarily analyzed for humans to strive and survive under extreme conditions or pandemics like Covid. On the other hand, it helps the health insurance companies to prepare.

Domain: Healthcare

Syllabus

Tools

Google Sheets

Duration: 1 month

Group Project. Create reports for a retail store brand
Group Project. Product analytics on video platform

You will learn:

Automate your work with spreadsheets using formulae
Analyse data with pivot tables
Creating dashboards via Google Sheets

Tools

SQL
MySQL
Metabase

Duration: 2 month

Group Project. Analysing investment bank portfolio
Group Project. YouTube video trends analytics

You will learn:

Query database using SQL
Analysing data from several tables with JOIN
Working with string and text data
Using sub queries
Advanced SQL: window functions, database normalisation and others

CV review
Technical assessment
Technical interview

Duration: 1 week

Tools

Exploratory data analysis (EDA)
A/B testing

Duration: 1 months

Group project. Analysing credit scores for retail banking clients

You will learn:

Descriptive statistics: mean, median, mode, standard deviation
Analysis of variance (ANOVA)
Hypothesis testing

Tools

Power BI

Duration: 1 month

Group project. Visualising cost structure of a corporation
Group project. Increasing profit by optimising supply-chain

You will learn:

Working with data sources in Power BI
Working with Query Editor
Visualisations in Power BI
Working with DAX

CV review
Technical assessment
Technical interview

Duration: 1 week

Tools

Python
Numpy
Pandas
Jupyter notebook
Matplotlib

Duration: 3 months

Group project. Analysing macroeconomic data on health to assess insurance risks
Group project. Reducing cost of fleet maintenance

You will learn: