Use Present Simple with ease and confidence

In the world of Data Analytics, we use the Present Simple to describe our regular workflow, technical processes, and facts about the data we handle.

Present Simple Formation

Remember!

For I/you/we/they we use don’t in negtive sentences and do in question sentences.

For he/she/it we use doesn’t in negtive sentences and does in question sentences.

When to use Present Simple in Data

1. Daily Routines and Agile Processes

Use this for actions that happen every day or every sprint.

• Signal words: every day, every week, once a month, during the stand-up.

  • I check the Jira board every morning.

  • We have a sprint planning meeting once a week.

  • The team syncs at 10:00 AM.

2. Technical Habits (Adverbs of Frequency)

Use these to describe how often you perform certain technical tasks.

• Adverbs: always, usually, often, sometimes, rarely, never.

  • I usually use SQL to extract data.

  • The system automatically updates the dashboard.

  • We never share passwords in public channels.

3. General Facts and System Logic

Use this to describe how software or data behaves.

• Python supports many libraries for data visualization.

• The script runs in the cloud.

• This function calculates the average value.

4. Timetables and Deadlines

• The sprint ends this Friday.

• The reporting cycle starts on the first of the month.

Ending S/ES with He/She/It (The Third Person)

In English, we add -s or -es when the subject is He, She, or It. In Data, “It” is usually the software, the script, or the company.

1. Simple -s

• Collect → The tool collects logs.

• Provide → The report provides insights.

2. Verbs ending in -y (Vowel vs. Consonant)

• Play / Pay / Stay (Vowel before ‘y’) → Just add -s.

  • The company pays for the license.

• Study / Try / Reply (Consonant before ‘y’) → Change ‘y’ to ‘ies’.

  • The analyst studies the trends.

  • He tries to fix the bug.

3. Verbs ending in s, sh, ch, x (Add -es)

• Fix → The developer fixes the code.

• Watch → My manager watches the metrics.

• Finish → The script finishes at midnight.

Professional Possessions: HAVE vs. HAS

In business, we use “have” to talk about access, tools, and responsibilities.

• Example: “Does the client have the latest version?” (NOT: ~~Has the client…?~~)

Asking Questions like an Analyst

Yes/No Questions

Start with Do or Does.

• Do you use Tableau for this?

• Does the database require a password?

Wh- Questions (Requirement Gathering)

• What does this metric represent?

• How do we clean this dataset?

• Why does the script fail?

• Who manages the cloud storage? (хто – subject)

• Who do you ask when you have questions? (кого – object)

Quizlet Set: Professional Routines

Activity 1: Fill in the Gaps

1. (+) My manager ______ (want) the report by EOD (End of Day).

2. (-) We ______ (not / use) Excel for big datasets.

3. (?) ______ the system ______ (send) an email notification?

4. (+) He ______ (study) the user behavior every month.

5. (-) I ______ (not / have) the login credentials.

6. (+) The script ______ (finish) the execution in five minutes.

7. (?) ______ they ______ (need) the raw data or the summary?

8. (+) She ______ (try) to optimize the SQL query.

9. (+) The dashboard ______ (update) automatically.

10. (-) It ______ (not / take) long to run the analysis.

11. (?) ______ you ______ (work) with Python often?

12. (+) We ______ (have) a meeting with the stakeholders now.

13. (+) The software ______ (process) the information quickly.

14. (-) The client ______ (not / understand) these charts.

15. (?) Where ______ the team ______ (store) the documentation?

Activity 2: Error Correction

1. The script don’t work. (Correct: ________________)

2. She have a meeting at 3 PM. (Correct: ________________)

3. Do he knows the deadline? (Correct: ________________)

4. I am usually check my email first. (Correct: ________________)

5. The data look incorrect. (Correct: ________________)

6. Why does the program fails? (Correct: ________________)

7. It take two hours to clean the data. (Correct: ________________)

8. We doesn’t have enough information. (Correct: ________________)

9. My colleague always try to help. (Correct: ________________)

10. Do you has the link? (Correct: ________________)

11. The report provide many insights. (Correct: ________________)

12. I am agree with your suggestion. (Correct: ________________)

13. She don’t likes the new UI. (Correct: ________________)

14. How often the system backup? (Correct: ________________)

15. I not see the error in this line. (Correct: ________________)