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Bihar Digital Data & Network
Data Analytics Programme · www.bddn.in
CLASS 01 · INTRODUCTION

Data Analytics samajhne se pehle, 4W + 1H samjho.

Excel, SQL, Python aur Power BI seekhne se pehle yeh clear hona chahiye ki Data Analytics hai kya, kyu zaroori hai, kaun karta hai, kab-kahan use hota hai, aur kaise seekhenge. Neeche diye gaye tabs padhaate waqt kholte jaaiye.

Data Analytics ka basic flow
Raw Data
Clean karo
Analyze karo
Visualize karo
Decision lo

01 · WHATData Analytics kya hota hai?

Data Analytics matlab raw data ko collect karke, usko clean karke, aur analyze karke usme se aisi cheez nikalna jo dikhti nahi thi — yaani insight.

Raw Data

Bikhra hua, unorganized data — jaise ek dukaan ke roz ke bill, ya app ke clicks.

Information

Data ko organize karne ke baad milta hai — jaise "is mahine 500 orders aaye".

Insight

Pattern jo pata chalta hai — jaise "Sunday ko sabse zyada order aata hai".

Decision

Insight ke base par action — jaise "Sunday ke liye extra staff rakho".

Example: Zomato apne crores orders ka data dekh kar batata hai ki kis area mein kaunsa dish sabse zyada order hota hai — yahi Data Analytics hai.

02 · WHYData Analytics kyu zaroori hai?

Aaj ki har company guess se nahi, data se decision leti hai. Isi wajah se Data Analytics har field mein zaroori ban gaya hai.

Business
Sahi decision lene mein help karta hai — kaunsa product banega, kahan branch kholna hai.
Saving
Galat decisions se hone wala loss kam hota hai, cost control hota hai.
Customer
Customer ki pasand-napasand samajh aati hai, better service milti hai.
Career
Data Analyst, BI Analyst jaise roles mein achi demand aur salary hai.
Yaad rakho: "Data se proof, guess se nahi" — yahi mindset ek Data Analyst ka hota hai.

03 · WHOData Analytics kaun karta hai?

Isse koi bhi seekh sakta hai — Commerce, Science, Arts, koi bhi background ho, bas logical soch aur curiosity honi chahiye.

Data Analyst

Data clean karke report aur insight nikalta hai.

Business Analyst

Data ko business problems se jodta hai.

Data Scientist

Advanced analysis aur prediction (Machine Learning) karta hai.

BI Developer

Power BI jaise tools se dashboard banata hai.

Industries jo hire karti hain: Banks, E-commerce, Healthcare, IT companies, Government departments, Sports teams — sab jagah Data Analyst chahiye.

04 · WHERE & WHENKahan aur kab use hota hai?

Data Analytics ek jagah tak limited nahi — har industry mein aur roz-roz use hota hai.

Banking

Fraud detect karna, loan approve karna data ke base par.

Healthcare

Patient records se disease patterns samajhna.

Government

Bihar ki schemes ka data dekh kar planning karna.

Sports

Player performance data se team strategy banana.

E-commerce

Delivery time, order pattern, discount planning.

Daily life

Jab bhi koi decision data dekh kar liya jaata hai — wahi Analytics hai.

05 · HOWHum kaise seekhenge?

Yeh raha hamara roadmap — is order mein hum syllabus cover karenge:

Step 1

Excel

Data ko organize karna, formulas, pivot tables — foundation yahin se banti hai.

Foundation
Step 2

SQL

Database se data nikalna aur query karna seekhenge.

Data Extraction
Step 3

Python

Data cleaning, analysis aur automation ke liye.

Analysis
Step 4

Power BI

Insights ko dashboard aur charts mein visualize karna.

Visualization
Goal: Course ke end tak, koi bhi raw data uthaake usse ek complete dashboard aur report bana sakoge — bilkul isi page jaisa!