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Data Analytics2024-08-26T19:08:05+05:30

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Data Analytics

6 Weeks / 6 Modules

This courses come with a 30-day money-back guarantee – so there’s no risk to get started.

  • What is data science?
  • What does a data analyst & a data scientist do?
  • Introduction to data science processes
  • Mathematics for data analytics-1
  • Mathematics for data analytics-2
  • Mathematics for data analytics-3
  • Week 1 assignment
  • Getting starting with the environment
  • Python Beginner Tutorials 1
  • Python Beginner Tutorials 2
  • Python Beginner Tutorials 3
  • Introduction to NumPy
  • Refresher for pandas and NumPy
  • Week 2 Assignment
  • Introduction to SQL & RDBMS
  • Basics of SQL
  • Data Retrieval using SQL
  • Operaters in SQL
  • Wildcards in SQL
  • Sorting in SQL
  • Week3 assignment
  1. Order by clause in SQL
  2. Aggregate functions in SQL
  3. Group by and having clause
  4. Nested Queries
  5. Joins in SQL
  6. Pratice questions
  7. Week4 assignment
  1. Getting started with Tableau
  2. Getting data to Tableau
  3. Creating Reports in Tableau
  4. Filter application to reports
  5. Dashboard Creation
  6. Sharing your reports & dashboards
  7. Week 5 Assignment
  1. Uber Business Understanding
  2. Data Understanding
  3. Expected Results
Enroll now

Mentors

Shubham Singh

Manager ( Search/Social ),
M&C Saatchi

Karan Goyal

Operations Team Lead,
Byjus

Sahil Bansal

Manager (Data Science),
Fractal

Shreyanka Choudhary

Manager ,
Flipkart

Sujata Patil

Manager ( Analytics ),
Merkle Sokrati

Transform Data into Decisions

Data Analytics

Data Cleaningt

Ensure data accuracy and consistency by removing irrelevant information.

Tools Used :-  Excel, SQL

Skills Developed :-  Data validation, handling missing values, and standardizing data formats.

Data Structuring

Organize and format data to facilitate easier analysis. This includes sorting, filtering, and categorizing

Tools Used :-  Excel, SQL

Skills Developed :-  Creating structured datasets, relational database management, and data modeling.

Data Analysis

Uncover patterns, correlations, and trends within the data to derive actionable insights.

Tools Used :-  Power BI, Google Data Studio, SQL

Skills Developed :-  Advanced querying, statistical analysis, and real-time data processing.

Data Visualization

Present data insights in an easily understandable and visually appealing format through charts, graphs, and dashboards.

Tools Used :-  Power BI, Google Data Studio, Excel

Skills Developed :-  Creating interactive dashboards, customizing visualizations, and storytelling with data.

Automated Insights

Utilize AI to automate data analysis and generate insights with minimal manual intervention.

Tools Used :-  ChatGPT

Skills Developed :-  Natural language processing, AI-driven data interpretation, and report generation.

Power BI

Master interactive dashboard creation, real-time data processing, and complex visualizations.

ChatGPT

Leverage AI for data interpretation, automated report generation, and enhancing analytical processes.

Google Data Studio

Create dynamic reports and dashboards with live data
connections and customizable visualizations.

SQL

Develop proficiency in querying databases, data management, and relational database
design.

Excel

Learn advanced functions, pivot tables, and data analysis techniques for managing large datasets.

FAQ’s

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