Data Analyst Training

Data Analytics Online Course with Certification

Learn SQL, statistics, Python, Power BI and Tableau, with data preparation, VBA and ChatGPT. Choose live online, classroom or self paced learning. This data analyst course online with certificate ends with a certificate of completion.

★ 4.3 out of 5 rating 15k+ learners trained Certificate on completion

Live Interactive Classes
Job Assistance
Industry Expert Trainers
Recorded Classes on LMS
Hands On Practicals
Online and Classroom Batches

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Course Duration

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Learning Mode

Live Online, Classroom and Self Paced

Projects

Practicals in Every Tool

Certification

Certificate of Completion

Job Support

Job Assistance

Batch Timing

[Confirm batch timings]

Experience Level

Beginner Friendly

Fees Start At

₹5,000

Who Should Take This Data Analytics Course for Beginners?

This course is for:

Beginners

Start with SQL, statistics and Python basics before you move into dashboards.

Working Professionals

Move into analyst roles or add analytics to your current work, with live classes and recordings on your LMS.

Graduates

Build a tool set and a set of practicals for your first analyst job.

Excel and Reporting Users

Move from spreadsheets to SQL, Python and Power BI.

Not sure which course is right for you?

Take our 2 minute course finder to choose between Data Analyst, Data Science, Power BI and Python.

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What You Will Learn in the SQL and Python Data Analyst Course

SQL Statistics Python NumPy and Pandas Tableau and Power BI Data Preparation with Alteryx VBA and Big Data ChatGPT

By the end of the course, you'll be able to:

Write SQL queries with joins, sub queries, views and stored procedures, and tune their performance
Apply descriptive statistics, probability and the binomial, Poisson and normal distributions to business data
Program in Python and analyse data with NumPy and Pandas
Visualize data with Matplotlib, Seaborn and Plotly
Build reports and dashboards in Power BI and Tableau
Prepare, blend and analyse data from Excel, CSV and databases with Alteryx
Automate Excel work with VBA macros
Query large data with Hive, understand Spark, and use ChatGPT responsibly for analysis work

Data analytics tools and technologies

SQL

Python

Pandas

Power BI

Tableau

Alteryx

VBA

ChatGPT

Hands On Practice and Industry Project

Practical 01

Python Exercises

Tools: Python, Anaconda

You'll build:

Python installed with Anaconda
Your first Python program
Functions with and without parameters, and lambda expressions
A class with a member function and an object

View Practical →

Practical 02

Data Blending Practicals

Tools: Alteryx

You'll build:

Excel, CSV and database data imported
Data cleaned with select, filter and sort
Sources joined and combined with union
Practical examples of blending several sources

View Practical →

Practical 03

Reports and Dashboards

Tools: Power BI, Alteryx reporting tools, ChatGPT

You'll build:

Reports and dashboards explored in Power BI
Charts and tables with Alteryx reporting tools
A simple dashboard
A simple chatbot built with ChatGPT

View Practical →

Each practical gives you something specific to explain in an interview.

Data Analyst Career Roles After This Course

Course

Skill Building

Hands On Practicals

Real Time Project

CV Help

Interview Preparation

Job Assistance

Career roles you can target

Role	Core Skills
Data Analyst	SQL, Python, Power BI, Tableau
BI Analyst	Power BI, Tableau, SQL
Reporting Analyst	SQL, Alteryx, Power BI, VBA
Business Analyst	Statistics, SQL, Power BI
Junior Data Analyst	SQL, Pandas, basic statistics

Job assistance is described below with what it includes. These roles are examples of where the skills are used. This course does not guarantee a job offer.

How Prwatech supports your job search

What job assistance includes, in detail.

01

CV Help

Get help creating a professionally written CV.

02

Interview Preparation

Get guidance for interview preparation and common interview questions.

03

Real Time Project

Work on an industry grade project to see how analysts work.

04

Screening Test

Learners who pass the screening test receive interview calls.

05

Job Assistance

[Describe exactly what else this includes, such as referrals or a job board.]

92% learners placed since 2010

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Why Learn Data Analytics with Prwatech

15+ Years

Training Experience

15k+

Learners Trained

Industry

Experts Lead Live Q&A

Recorded

Classes on Your LMS

Job

Assistance Included

Online +

Classroom Batches

Data Analytics Trainers

Photo

[Trainer Name]

[Current role]

[Years of experience]

Specialization: [Specialization]

Photo

[Trainer Name]

[Current role]

[Years of experience]

Specialization: [Specialization]

Meet Your Trainers →

Student Reviews

★ 4.3 average from 299+ verified Google reviews

Every review is public on Google.

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Before → After

Before	After
No SQL	SQL queries with joins, sub queries and views
No statistics background	Probability and distributions applied to business data
No dashboard skills	Reports and dashboards in Power BI and Tableau
No Python skills	Data analysis with NumPy and Pandas

Data Analytics Course Subjects and Syllabus

1. SQL and Data Wrangling

Introduction to SQL and database normalization
Entity relationship model
SQL operators, joins, tables and variables
SQL functions, sub queries, views and stored procedures
User defined functions
SQL performance and optimization
Advanced concepts: correlated sub queries and grouping sets

2. Statistics

Descriptive statistics: mean, median, mode and charts
Introduction to probability, and probability in business analytics
Probability distributions: binomial, Poisson and normal

3. Python Programming and Data Analysis

Python setup: Anaconda on Windows, Mac and Linux, and a Python IDE
Data types, classes, modules, strings, operators and type casting
Lists, tuples, sets, frozen sets and dictionaries
Control flow, and data transformation with Excel and Python, including functions, exception handling and file handling
Git: version control, creating a repository and the basic commands
NumPy: vectors and matrices, array functions, indexing and universal functions
Pandas: Series and DataFrames, missing data, group by, merge, join and concatenate, reading and writing CSV, Excel, database and HTML data
Matplotlib, Seaborn, Pandas built in plots, and interactive maps with Plotly and Cufflinks

4. Tableau and Power BI

Tableau: ETL and data analytics overview, Tableau compared with other tools, architecture, what data visualization is, installation
Tableau products: Desktop, Server, Online, Mobile, Public and Reader
Power BI Desktop: installation, data sources and connections, creating datasets
Power BI: quick insights, viewing reports and exploring a dashboard
Power BI query editor: renaming queries, fixing metadata, filtering rows, removing columns, merging queries and adding columns

5. Data Preparation and Analysis with Alteryx

Importing data from Excel, CSV and databases, and understanding data types and formats
Cleaning with select, filter and sort, transformation with formula tools, and handling missing data
Blending data: join, union, find and replace, and combining multiple sources
Summarizing data, creating calculations and exploring data
Reporting tools: charts, tables, layout and a simple dashboard
Spatial data, time series analysis and an introduction to predictive tools
Macros: creating and using macros, batch macros and iterative macros
Parsing and restructuring data, advanced joins, blending large datasets, using R and Python, advanced predictive modeling, text mining and sentiment analysis

6. VBA for Excel

VBA overview, Excel macros and Excel terms
Comments and operators
Decisions and loops
Strings, arrays, and date and time

7. Big Data Analytics

What big data is, distributed computing and parallel processing
Why data scientists need big data
Hadoop architecture and cluster architecture
Hive: services, shell, server, web interface, metastore, HiveQL, tables, data types, partitions, user defined functions, bucketed tables and sampling
Spark: introduction, architecture, functional programming, collections, RDD, Spark SQL and Spark MLlib

8. Machine Learning Introduction and Generative AI with ChatGPT

What machine learning is, the process flow, supervised, unsupervised and reinforcement learning, and a Scikit Learn overview
What generative AI is, and generative and discriminative models
GPT and its evolution to GPT 4, and how transformers and attention work
ChatGPT: training, fine tuning, use cases and applications
Best practices: quality and reliability, handling sensitive information and maintaining user trust
Developing ChatGPT applications: building a simple chatbot and adding custom logic

Data Analytics Training Fees and Learning Formats

All formats include the same curriculum and projects.

Swipe sideways to compare all three formats →

	Self Paced	Most Popular Live Online	Classroom
Recorded Content	✓	✓	✓
Live Classes	Not included	✓	✓
Trainer Support	Limited	✓	✓
Projects	✓	✓	✓
Career Support	[Specify]	✓	✓
Access	Lifetime	[Duration]	[Duration]
Price	₹5,000 or ₹[X,XXX] per month EMI	₹28,000 or ₹[X,XXX] per month EMI	₹28,500 or ₹[X,XXX] per month EMI

Talk to an Advisor

What happens after you enquire?

1

Submit enquiry

2

Advisor calls you

3

Discuss background & goals

4

Choose suitable batch

5

Complete enrollment

6

Start learning

Frequently Asked Questions

What is a data analytics course and who can join?

A data analytics course teaches you to collect, clean, analyse and present data so that a business can act on it. This course covers SQL, statistics, Python, Power BI, Tableau, Alteryx, VBA, big data and ChatGPT. Beginners, graduates, working professionals and people who work in spreadsheets and reports can join. The course starts with SQL, statistics and Python basics, so you do not need earlier coding experience.

What is the data analytics course duration?

The course runs for [Confirm duration].

What is the data analytics course fee?

The live online course fee is ₹28,000. The classroom fee is ₹28,500. The self paced course costs ₹5,000. Contact the learning team for EMI details.

Which tools do I learn in this course?

SQL, Python with NumPy and Pandas, Power BI, Tableau, Alteryx, VBA for Excel, Hive and Spark, and ChatGPT. See the full syllabus above.

Is Excel included in the course?

The course teaches data transformation with Excel and Python, and VBA macros for Excel. [Confirm whether Excel formulas, pivot tables and Power Query are taught, and list them here.]

Do I get a data analyst certification?

You receive a Prwatech certificate of completion, and it is included in the course. It is a course certificate and not a Microsoft or Google exam certification. Preparation for a vendor exam is not part of this course.

What is the difference between a data analytics course and a data science course?

This course focuses on SQL, statistics, reporting and dashboards, and gives an introduction to machine learning. Our Data Science course goes much deeper into machine learning, deep learning and model deployment. If you want both, many learners start here and continue there.

Does the course include generative AI?

It includes one module on generative AI and ChatGPT, with a simple chatbot exercise. For a full course on this topic, see our Generative AI course.

Do you provide job assistance?

Learners who pass the screening test receive interview calls. We also help with your CV and with interview preparation. We do not guarantee a job offer.

What if I miss a live class?

Every class is recorded and uploaded to your LMS. Earlier class recordings and presentations are also available to you.

Start Learning Data Analytics

Get the complete curriculum and speak with a learning advisor about the right learning format for you.

Download Curriculum Book a Free Demo Class

Data Analytics Online Course with Certification

Who Should Take This Data Analytics Course for Beginners?

Beginners

Working Professionals

Graduates

Excel and Reporting Users

What You Will Learn in the SQL and Python Data Analyst Course

Hands On Practice and Industry Project

Python Exercises

Data Blending Practicals

Reports and Dashboards

Data Analyst Career Roles After This Course

How Prwatech supports your job search

CV Help

Interview Preparation

Real Time Project

Screening Test

Job Assistance

Why Learn Data Analytics with Prwatech

Data Analytics Trainers

[Trainer Name]

[Trainer Name]

Student Reviews

Data Analytics Course Subjects and Syllabus

Data Analytics Training Fees and Learning Formats

What happens after you enquire?

Frequently Asked Questions

Start Learning Data Analytics

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