106. What is Tableau Prep?
107. Difference between live and extract connections?
108. Explain joins and blending.
109. What are LOD expressions?
110. Explain table calculations.
111. What are actions in Tableau?
112. How do you optimize dashboards?
113. Explain context filters.
114. What is dual-axis chart?
115. Explain data source filters.

Python Interview Questions 
116. What is Python?
117. Difference between lists and tuples?
118. Difference between sets and dictionaries?
119. What are functions in Python?
120. Explain lambda functions.
121. What is Pandas?
122. What is a DataFrame?
123. How do you handle missing values?
124. Difference between loc and iloc?
125. Explain groupby().
126. What is NumPy?
127. Difference between NumPy arrays and lists?
128. Explain vectorization.
129. What is broadcasting?
130. Explain array indexing.
131. What is Matplotlib?
132. What is Seaborn?
133. Difference between bar chart and histogram?
134. Explain box plots.
135. Explain scatter plots.
136. How do you remove duplicates in Python?
137. How do you detect outliers?
138. Explain feature engineering.
139. How do you merge datasets?
140. How do you export data?
141. What is exception handling?
142. Explain try-except blocks.
143. What are APIs?
144. How do you automate reports?
145. Explain web scraping basics.

Statistics Interview Questions 
146. Mean vs Median vs Mode?
147. What is standard deviation?
148. Explain variance.
149. What is probability?
150. What is correlation?
151. Difference between correlation and causation?
152. What is hypothesis testing?
153. Explain p-value.
154. What is confidence interval?
155. What is regression?
156. What is A/B testing?
157. Explain normal distribution.
158. What are outliers?
159. What is sampling?
160. Explain Type I and Type II errors.

Data Visualization Interview Questions 
161. What makes a good dashboard?
162. Which charts should be avoided?
163. Difference between bar and line charts?
164. When should you use pie charts?
165. Explain dashboard storytelling.
166. What are KPIs?
167. How do you improve dashboard performance?
168. Explain dashboard UX.
169. What are common visualization mistakes?
170. How do you present insights to stakeholders?

Case Study Interview Questions 
171. Analyze declining sales.
172. Why are customers leaving a platform?
173. How would you improve app engagement?
174. Analyze delivery delays.
175. Why is profit decreasing?
176. Analyze marketing campaign performance.
177. How would you detect fraud?
178. Analyze employee attrition.
179. How would you improve customer retention?
180. Analyze product performance.

Behavioral & HR Interview Questions 
181. Tell me about yourself.
182. Why do you want to become a Data Analyst?
183. Explain your projects.
184. What challenges did you face in projects?
185. How do you handle deadlines?
186. Explain a difficult situation at work.
187. Why should we hire you?
188. What are your strengths?
189. What are your weaknesses?
190. Where do you see yourself in 5 years?
191. Explain your career gap.
192. Why are you switching careers?
193. Explain your resume.
194. How do you handle pressure?
195. Explain teamwork experience.
196. How do you deal with conflicts?
197. Describe leadership experience.
198. Explain a project failure.
199. How do you prioritize tasks?
200. Do you have any questions for us?

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