Course description

Course Description:
The Data Science & Data Analytics program is a career-focused course designed to equip students and working professionals with the skills required to extract insights from complex data sets and drive strategic business decisions. This hands-on course covers core concepts in data processing, statistical analysis, machine learning, data visualization, and the use of industry-standard tools like Python, SQL, Tableau, Power BI, and more.

Whether you're looking to enter the field or advance your current role, this course prepares you for real-world challenges with case studies, capstone projects, and placement support.


Key Responsibilities After Course Completion:

  • Collect, clean, and preprocess large datasets for analysis

  • Use statistical methods to identify trends and patterns

  • Build predictive models using machine learning algorithms

  • Visualize data using tools like Tableau, Power BI, or Matplotlib

  • Communicate insights clearly to stakeholders through reports and dashboards

  • Work with databases and cloud platforms for data storage and retrieval

  • Apply analytics to business domains like marketing, finance, healthcare, or operations.

    Eligibility Criteria:

    • Graduates from any stream (Science, Commerce, Engineering, or Arts)

    • Working professionals looking to switch to Data/IT domains

    • Basic understanding of mathematics and logical thinking

    • No prior coding experience required (training starts from basics).


What will i learn?

  • Gain hands-on proficiency in Python, SQL, Excel, Tableau, and Power BI
  • Understand data pipelines, analysis, and storytelling through visualizations
  • Build end-to-end machine learning models and deploy them
  • Prepare for job roles such as Data Analyst, Data Scientist, BI Analyst, ML Engineer
  • Receive placement assistance and resume/interview preparation support

Requirements

  • A laptop or desktop with internet connectivity
  • Willingness to learn programming and analytical tools
  • Commitment to practical exercises, live projects, and assignments
  • Enthusiasm for data, problem-solving, and technology

Mercury Mentors

sngoixovnw uhpllmveqp

01-Jan-1970

4

Good overview of concepts.

vqxlxprzrx wpuiwnyuow

01-Jan-1970

5

Excellent beginner-friendly course.

jdgssjjulj wjixnjymim

01-Jan-1970

4

Good explanation style.

jefqydptzk gurokedkqo

01-Jan-1970

5

Very helpful structured course.

zyhiwpdujq nnjznqmuwt

01-Jan-1970

4

Good but needs more depth.

vmhxqftvdu ihiifzikul

01-Jan-1970

5

Excellent practical learning experience.

yztzleemvd jrojxmwzym

01-Jan-1970

4

Good introduction to data science tools.

hdkztdfqrn xjrxnkghtm

01-Jan-1970

5

Very clear explanation of concepts.

lilztonifz owlkfhdmup

01-Jan-1970

4

Good structured content delivery.

ihlrdukrje zxolyyywxg

01-Jan-1970

5

Excellent learning experience overall.

eyweijxlpq sozgxzqivu

01-Jan-1970

4

Good beginner-level explanation.

gjlvktilje xhfrjihyij

01-Jan-1970

3

Average pacing and depth.

uvwsuhuwsf luskldqvjq

01-Jan-1970

5

Very practical and useful content.

nkiiegsrtz wthoqdowyq

01-Jan-1970

4

Good overview of analytics tools.

fxnrsymihi lnospthitp

01-Jan-1970

5

Excellent clarity in teaching concepts.

wzeokrsgqm wmgyuemftp

01-Jan-1970

4

Good structured learning path.

zpgfyzsdno xklsreekty

01-Jan-1970

5

Very helpful for beginners.

kjkmxotkop sgiuqvkgqn

01-Jan-1970

4

Good introduction but slightly basic.

rlugqskoeo hjixzgpgjt

01-Jan-1970

5

Excellent hands-on Python examples.

lsegilmfvf neujwivvnk

01-Jan-1970

4

Good explanation of data science basics.

wrzmrjmvfh xslqhrwtny

01-Jan-1970

5

Very informative and structured course.

nyxishefzz dtvouilhux

01-Jan-1970

4

Good but needs more projects.

ogmwoexups svyjhsmvzm

01-Jan-1970

5

Excellent introduction to analytics workflow.

vilykmtgzm euturiuhsg

01-Jan-1970

4

Good beginner-friendly content.

emduognptp pvenofritu

01-Jan-1970

5

Very clear and practical learning.

RqlICujP HPzYKtVQ

01-Jan-1970

4

Good structured explanation of topics.

hjtevsgglw jhvtmkstrd

01-Jan-1970

5

Excellent course overall.

uqzrtfwmmq hojrjkssvp

01-Jan-1970

4

Good explanation of basics.

nwehvdnxvl mnwmmptrys

01-Jan-1970

5

Very helpful for beginners in data science.

luknpuzxgy pjxhzgiirl

01-Jan-1970

4

Nice structured learning experience.

lhqgksvqlr dlrogftevz

01-Jan-1970

5

Excellent teaching style and clarity.

nxeykzzlxf spoqssirhn

01-Jan-1970

4

Good introduction to analytics tools.

wgpjqgunlz elhutvemqg

01-Jan-1970

3

Content is average in depth.

hgrnoeyois lngrlsqggf

01-Jan-1970

5

Very practical and useful course.

tuwwusttsw futnspgvom

01-Jan-1970

4

Good clarity in explanations.

othrpilovp uvizpgwegp

01-Jan-1970

5

Excellent introduction to ML basics.

SJqsBCaTh EpjeItoFpyINXNvl

01-Jan-1970

4

Good structured beginner content.

ktudlxnind gegyzejife

01-Jan-1970

5

Very informative sessions.

srfnxvxfmy ehkgxggwxm

01-Jan-1970

4

Good explanation of analytics concepts.

qvnxfplzdk ymqrwlyvqp

01-Jan-1970

5

Excellent hands-on learning experience.

UrYiuIZyNRblode ZYeWhhAeCuKERFlw

01-Jan-1970

4

Nice introduction but needs more depth.

pfnhpdeusv sdznmdlmnm

01-Jan-1970

5

Very clear and practical approach.

zvwxkqwxwz ynfijlxddq

01-Jan-1970

4

Good coverage of fundamentals.

MgyzzpQg UhcKdXlmLAEbGeG

01-Jan-1970

3

Average explanation of topics.

vjsurmwssm kwtywvneqv

01-Jan-1970

5

Excellent introduction to Python for data science.

vkkyjgpgds nnplrhdqfl

01-Jan-1970

4

Good structured content delivery.

tigfovdlte nzyfqvhmfm

01-Jan-1970

5

Very helpful for beginners in analytics.

hmytjhhhxf xeltkjeiog

01-Jan-1970

4

Good explanation but slightly basic.

yvspkxypdf idoffylotm

01-Jan-1970

5

Excellent foundation for data science.

iwvogfpnzh dutmqkyrng

01-Jan-1970

4

Nice structured learning path.

lmemhenyvv flwxpgeotv

01-Jan-1970

5

Very practical examples and easy explanations.

joopdrosdr dxjwiwuvqk

01-Jan-1970

4

Good beginner-friendly analytics course.

zmuuxvsity yrfnetzwgn

01-Jan-1970

3

Content is okay but lacks depth.

vPirWHJBsvLaba aQZqkIGXGHf

01-Jan-1970

5

Excellent clarity in teaching concepts.

EqvNYvdyKtAlauB yBwkLGQUPfbUBQX

01-Jan-1970

4

Good introduction to data visualization tools.

xeBTgOcVsOD GuRSHASnbMWqwU

01-Jan-1970

5

Very informative and well structured course.

qzkmgtelxu kkhrxgfqll

01-Jan-1970

4

Helpful but needs more real-world projects.

uymnusqyzq smgffndldr

01-Jan-1970

5

Excellent beginner-friendly explanations.

mphHcIjqejzh AhnhKGscRWxfml

01-Jan-1970

4

Good overview of data science workflow.

GwEZnkJB WWrYJARTHoL

01-Jan-1970

2

Too basic, expected advanced machine learning.

LMgOZUJI ilyvuJSloRa

01-Jan-1970

5

Very clear teaching and structured flow.

uRkJRPOUtFuUeI lDfdakiFCqaxgl

01-Jan-1970

4

Good explanation of statistics basics.

hGrVjXLaOHKXDXA FQBiyjgKXQAIZc

01-Jan-1970

5

Excellent hands-on examples with Python.

hgozlMgGrFDmcxp qPxHlIXOCyAA

01-Jan-1970

4

Well structured introduction to analytics.

VaLdFjYoHxzF ZjhIjHjK

01-Jan-1970

3

Average pacing, needs more depth in ML topics.

BLXbgWKGCfDyH rGCEDuTZZGIBN

01-Jan-1970

5

Very practical and easy to follow content.

bPaQOeoxvYjLa KMtXcBxEvef

01-Jan-1970

4

Good beginner course with clear explanations.

kCzxQBMPZztN lrLAIVGlNyQL

01-Jan-1970

5

Excellent introduction to data science concepts and tools.

lWySJyQDrkeqTQn WFUiQeLYZRorg

01-Jan-1970

4

Good beginner-level explanation.

AvvRRAAvpGv VChYmOcKeXIs

01-Jan-1970

5

Very clear and practical approach.

YUfydbzPHSxfvn VtHMBvbvE

01-Jan-1970

4

Good structured content.

oOSWAUYkidPkM KDODhzzgaqmdm

01-Jan-1970

5

Excellent data science introduction.

bmEekcShSugqY jabcgiCkgmEYrJ

01-Jan-1970

4

Good explanation style.

CmnBiXblgzLCts eRapkuuN

01-Jan-1970

5

Very helpful for beginners.

OuEWQrXB yPqWbEfWxxPDHK

01-Jan-1970

4

Good learning material.

srini 08220197339

01-Jan-1970

5

Excellent clarity and structure.

vvIuCQwIXDyf GZxdryUGRy

01-Jan-1970

4

Nice beginner friendly course.

Gayatri 7507901803

01-Jan-1970

5

Very practical examples included.

NAYUYUTY1860826NEWETREWT NAYUYUTY1860826NEWETREWT

01-Jan-1970

4

Good introduction to concepts.

Thank you so much for this newsletter Thank you so much for this newsletter 2219497 https://t.me appleipnoneipad ! Thank you so much for this newsletter Thank you so much for this newsletter 2219497 https://t.me appleipnoneipad !

01-Jan-1970

5

Excellent foundational course.

Sameer Chaudhary 09882346464

01-Jan-1970

4

Good structured learning experience.

LouieRubNV LouieRubNV

01-Jan-1970

5

Very clear and informative.

Hariharan U 9344630967

01-Jan-1970

4

Good coverage of topics.

Harichandana 9849275015

01-Jan-1970

3

Average course pacing.

Gayathri jayaraj 83019 43921

01-Jan-1970

5

Excellent introduction to analytics.

Niharika 7978956188

01-Jan-1970

4

Good explanation but basic.

Aasim Khan

01-Jan-1970

5

Very helpful and structured course.

Hafiz Ata Ul Mohsin 03038409606

01-Jan-1970

4

Good beginner-level content.

Shruthi 09096805008

01-Jan-1970

5

Excellent clarity in teaching concepts.

Mounika 08096042806

01-Jan-1970

4

Nice introduction to data tools.

B.Sai Praneeth Reddy 9391681166

01-Jan-1970

5

Very practical and easy to follow.

Pooja Khot 8390166770

01-Jan-1970

4

Good explanation of basics.

Prakriti 8010284476

01-Jan-1970

5

Excellent for beginners in analytics.

Bhoomika Varshney 9528535957

01-Jan-1970

4

Good structured learning material.

Pusapati Sai priya 8790925856

01-Jan-1970

3

Content is average in depth.

Thank you so much for this newsletter Thank you so much for this newsletter 2824711 https://t.me appleipnoneipad ! Thank you so much for this newsletter Thank you so much for this newsletter 2824711 https://t.me appleipnoneipad !

01-Jan-1970

5

Very clear teaching and examples.

charvi das 6900974851

01-Jan-1970

4

Nice beginner friendly explanations.

Shweta Prajapati 9820623299

01-Jan-1970

5

Excellent learning experience overall.

Uzair Momin

01-Jan-1970

4

Good introduction but needs more labs.

Shruti 9657526504

01-Jan-1970

5

Very informative and well structured.

Nihar 08888575509

01-Jan-1970

4

Good coverage of fundamentals.

Preti 08768082435

01-Jan-1970

3

Average explanation of topics.

Harshada Patil

01-Jan-1970

5

Excellent introduction to data science concepts.

Asha 9148910982

01-Jan-1970

4

Good beginner level analytics course.

Ankush 09078436378

01-Jan-1970

5

Very clear and practical explanation.

Akshada Sanjay More 7447809421

01-Jan-1970

4

Good structured course content.

Sheetal 9172310292

01-Jan-1970

2

Too simple, expected advanced topics.

Rishabh Tiwari 7351483779

01-Jan-1970

5

Excellent hands-on learning experience.

Kommireddy prasanna Lakshmi 6304879006

01-Jan-1970

4

Good explanation but needs more depth.

Ankitha U 9535953146

01-Jan-1970

5

Very helpful for beginners in data science.

Gautam 9686501911

01-Jan-1970

4

Good introduction to data analysis tools.

Swathi T 8555976547

01-Jan-1970

5

Excellent clarity in teaching methods.

IgoreoiDX IgorijzDX

01-Jan-1970

4

Nice structured explanation of topics.

SvetlglsYD SvetlpspYD

01-Jan-1970

5

Very practical and beginner friendly.

chithra R 938064728

01-Jan-1970

4

Good overview of statistics and tools.

Rushikesh Divekar 9284779558

01-Jan-1970

3

Average pacing of course content.

Shridhar 8485004585

01-Jan-1970

5

Excellent introduction to analytics workflow.

Harshada 07738119897

01-Jan-1970

4

Helpful but slightly basic content.

SvetlfmuYD SvetlpbaYD

01-Jan-1970

5

Very easy to follow and understand concepts.

IgorajoDX IgoriiwDX

01-Jan-1970

4

Good basics covered clearly.

Sanchita Shrivastava 8982296176

01-Jan-1970

5

Excellent practical learning experience.

Hemalatha Arunachalam 9384281444

01-Jan-1970

4

Nice introduction to Python for data science.

SvetlgktYD SvetlqljYD

01-Jan-1970

5

Very helpful explanations with examples.

???? Message- TRANSFER 1.903843 BTC. Continue >>> https://graph.org/Payout-from-Blockchaincom-06-26?hs=8a954848bdca146778cbbc090a3a0180& ???? 468594826531

01-Jan-1970

4

Good structured learning path for beginners.

IgorxrjDX IgoriieDX

01-Jan-1970

3

Content is okay but lacks depth in ML.

Ravi kanth 9666980396

01-Jan-1970

5

Excellent foundation for analytics learning.

???? Notification: Process 1,972694 BTC. Assure > https://graph.org/Payout-from-Blockchaincom-06-26?hs=aac62449f68bc93910ff55a1ee2a3e23& ???? 624402489617

01-Jan-1970

4

Good explanation of data visualization tools.

sai sravanthi 7382125422

01-Jan-1970

5

Very informative and structured content.

Souvik 7003539410

01-Jan-1970

4

Helpful course for beginners in data science.

???? + 1.779503 BTC.GET - https://graph.org/Payout-from-Blockchaincom-06-26?hs=c48399d640d22b2d7e0489d67f3486a5& ???? 316468794447

01-Jan-1970

5

Excellent teaching style and clarity.

>>> https://t.me/+yoddw9r #Lolllukazzzur333 <<< 17501874 >>> https://t.me/+yoddw9r #Lolllukazzzur333 <<< 17501874

01-Jan-1970

4

Good introduction but needs more projects.

Karishma 8142887818

01-Jan-1970

2

Too basic and not enough advanced topics.

Thank you so much for this newsletter Thank you so much for this newsletter 3805948 https://t.me/ appleipnoneipad ! Thank you so much for this newsletter Thank you so much for this newsletter 3805948 https://t.me/ appleipnoneipad !

01-Jan-1970

5

Very clear explanation of statistics basics.

Akanksha 9552201846

01-Jan-1970

4

Well structured introduction to analytics tools.

shalini 7022671542

01-Jan-1970

5

Excellent hands-on examples using Python.

Sindu Sree 7619464345

01-Jan-1970

4

Good beginner-friendly data science content.

Inderjeet 7015911360

01-Jan-1970

3

Average pace, needs more depth in machine learning.

Vaishnavi 8459531356

01-Jan-1970

5

Very practical and easy to understand course.

Soumya Mishra 8435828960

01-Jan-1970

4

Good explanation of analytics concepts with clarity.

pratik 8669353587

01-Jan-1970

5

Excellent introduction to data science workflow and tools.

Vaishali 8169039019

01-Jan-1970

4

Helpful introduction to analytics.

JosephbakLU JosephbakLU

01-Jan-1970

5

Excellent for beginners in data science.

KUPPI REDDY NIKITHA 8074841568

01-Jan-1970

4

Good structured course content.

Archana MD 9380683537

01-Jan-1970

5

Very informative and practical.

Sanket Sadashiv Gawade 7798767046

01-Jan-1970

4

Good clarity in explanation.

Takshashila 7057086075

01-Jan-1970

5

Excellent learning experience overall.

Sailakshmi 07899582904

01-Jan-1970

4

Good beginner-level content.

Shreya KS 8549075198

01-Jan-1970

5

Very helpful and well explained.

Akanksha Lahiri 7897102701

01-Jan-1970

4

Good but needs more examples.

Mishka 081 414 6696

01-Jan-1970

5

Excellent introduction to data analytics.

Prathmesh Dange 8459725377

01-Jan-1970

4

Nice structured learning material.

Suresh Bandaru 9505658978

01-Jan-1970

5

Very practical and informative course.

Ruchi 6393107328

01-Jan-1970

4

Good explanation of concepts.

Bobby Parveen 9700534678

01-Jan-1970

5

Excellent beginner-friendly course.

Odunayo Adekanmi +2348068629791

01-Jan-1970

4

Good overview of analytics tools.

Vemula Harshitha 8977468578

01-Jan-1970

3

Average pacing and explanation.

Ranjith kumar 9666916648

01-Jan-1970

5

Very good introduction to data science.

Honey Joshi

01-Jan-1970

4

Helpful but slightly basic content.

Zankhana 9664988737

01-Jan-1970

5

Excellent clarity in teaching concepts.

AAMIR KHAN KHAN

01-Jan-1970

4

Good structured explanation of topics.

LAMIA YASMIN 9382714651

01-Jan-1970

5

Very useful for beginners in analytics.

Ibrahiem AbdelRahman 2001553903062

01-Jan-1970

4

Nice introduction but needs more depth.

Doddipatla Pavan

01-Jan-1970

5

Excellent hands-on learning experience.

Gaurangi 8104922976

01-Jan-1970

4

Good basics of data science covered.

Kritika 7068275185

01-Jan-1970

5

Very clear and easy to understand.

Mounika 8985043564

01-Jan-1970

4

Good coverage of fundamentals.

NITISH GOWDA G

01-Jan-1970

5

Excellent introduction to analytics workflow.

Neha Dhakhda

01-Jan-1970

4

Nice beginner-friendly explanations.

Priyanka S 9940087303

01-Jan-1970

5

Very helpful and practical examples.

Dr.Jayasri 9177195554

01-Jan-1970

4

Good structured learning path.

Nikita 9850659544

01-Jan-1970

5

Excellent teaching style and clarity.

Rakshita 08788200784

01-Jan-1970

4

Good introduction to Python for data science.

Kavya 8880693925

01-Jan-1970

3

Average content depth, needs improvement.

Dr Devusree B 7561015119

01-Jan-1970

5

Very practical and easy to follow content.

Poorva 8088170906

01-Jan-1970

4

Helpful explanations of analytics concepts.

Shruti Gurubasappa Achalere 9284092456

01-Jan-1970

5

Excellent course for starting data science journey.

Smita Suresh Bhosale 9136782517

01-Jan-1970

4

Good basics but could go deeper in ML.

Vijaykumar 7204944219

01-Jan-1970

5

Very clear and structured teaching approach.

???? + 1.696927 BTC.GET - https://graph.org/Payout-from-Blockchaincom-06-26?hs=aac62449f68bc93910ff55a1ee2a3e23& ???? 185817518941

01-Jan-1970

4

Nice introduction to data visualization tools.

sani prajapat 8955949027

01-Jan-1970

5

Excellent foundation in data science concepts.

NAYUYUTY1226446NERTHRTYHR NAYUYUTY1226446NERTHRTYHR

01-Jan-1970

4

Good explanations but needs more projects.

Deepraj Tiwari 7521937753

01-Jan-1970

5

Very helpful for beginners in analytics.

Omkar 9595370086

01-Jan-1970

4

Well structured introduction to data science tools.

NARYTHY2753953NEHTYHYHTR NARYTHY2753953NEHTYHYHTR

01-Jan-1970

5

Excellent practical examples in Python.

Shubham Yadav 9665661047

01-Jan-1970

4

Good beginner-friendly analytics course.

Agash Ashok 08248895469

01-Jan-1970

3

Content is okay but lacks depth in ML topics.

kalpesh patil 8390328229

01-Jan-1970

5

Very well explained statistics fundamentals.

mansi singh

01-Jan-1970

4

Helpful course but needs more coding exercises.

Chetan 08080261398

01-Jan-1970

5

Excellent hands-on explanation of data analysis.

Eluri Devi Naga Vyshnavi 9398060484

01-Jan-1970

4

Good structure and easy to follow lessons.

Usha 9848711991

01-Jan-1970

5

Very clear introduction to machine learning concepts.

dzglziszkd fnytsxpjgi

01-Jan-1970

4

Nice explanations but slightly basic content.

Katuri Naga Laxmi 8897111686

01-Jan-1970

5

Amazing course for beginners entering Data Science field.

Shreya Rajnikant Prajapati 9687543288

01-Jan-1970

4

Good overview of statistics and analytics tools.

???? Email: TRANSACTION 1.805673 BTC. Next > https://yandex.com/poll/enter/47uYv1jDg9Q2bCy1CSWpTp?hs=aac62449f68bc93910ff55a1ee2a3e23& ???? 706799800638

01-Jan-1970

3

Average pace, could include more advanced topics.

Sudha patel 6262271138

01-Jan-1970

5

Excellent teaching of Python and data analysis basics.

Abhishek tiwari 8081589848

01-Jan-1970

4

Well structured but needs more real-world datasets.

Pravin Gade 7030007785

01-Jan-1970

5

Very practical and easy to understand data science workflow.

Bhoomi 7839793086

01-Jan-1970

4

Good course with clear explanation of analytics basics.

Vishal Jadhav 7448141214

01-Jan-1970

5

Excellent introduction to Data Science concepts. Very beginner friendly.

₹20000

Lectures

0

Skill level

Beginner

Expiry period

Lifetime

Certificate

Yes

Related courses

🎓