Sure, I will be making a video soon.

Thank you

I am not entirely sure about the job market in your location but there should be entry-level data engineering jobs. Before you apply for your next job work on your resume, and make sure it is ATS friendly. Add key works and make sure you're adding relevant experience. Also if possible get job references. Let me know if you have any questions. Subscribe and share the video with your friends Thank you, Ashwani

@tomaraditya9487 hello bro data analyst job market is like that only I think that job market will be recover soon

@@GagandeepSingh-vd9hd you're right but i see a lot more opening for freshers in data analyst than DE.... Recently EY, IDFC bank, Deloitte, and many more had opening for freshers analysts but for data engineering... only senior level roles are available

Awesome!

Yes, you can start freelancing but it will be little difficult. 1. Learn the Basics: Understand statistical concepts and tools like Excel, SQL, Python, or R. 2. Build a Portfolio: Create projects using publicly available datasets. 3. Market Yourself & do Networking 4. Begin with smaller projects to gain experience and build your reputation. 6. Stay updated with the latest trends and tools in data analysis and learn.

Yes he is right. I will do the same 🎉

No worries, Check out this video on my channel to learn and enhance your SQL skills. Subscribe to channel if you like it. How to learn SQL in 5 Simple Steps #data #sql #learning kzfaq.info/get/bejne/aZOnmMKAldyahYE.html

good question, and yes that should be okay, mention the projects that you gained the skills from.

Sorry for delayed response. Here are several websites where you can find free datasets to practice and improve your data analysis skills: 1. **Kaggle**: - **URL**: [Kaggle Datasets](www.kaggle.com/datasets) - **Description**: Kaggle offers a vast collection of datasets across various domains. You can also participate in competitions and see how others approach data analysis problems. 2. **UCI Machine Learning Repository**: - **URL**: [UCI Machine Learning Repository](archive.ics.uci.edu/ml/index.php) - **Description**: A popular source for machine learning datasets, ranging from small, clean datasets to larger, more complex ones. 3. **Google Dataset Search**: - **URL**: [Google Dataset Search](datasetsearch.research.google.com/) - **Description**: A tool that helps you find datasets stored across the web, covering a wide range of topics. 4. **data.gov**: - **URL**: [data.gov](www.data.gov/) - **Description**: The U.S. government’s open data portal offers datasets on a variety of topics, including agriculture, education, energy, and more. 5. **FiveThirtyEight**: - **URL**: [FiveThirtyEight Data](data.fivethirtyeight.com/) - **Description**: Datasets used in FiveThirtyEight’s data journalism articles, covering topics like politics, sports, science, and economics. 6. **World Bank Open Data**: - **URL**: [World Bank Open Data](data.worldbank.org/) - **Description**: Provides access to global development data, including economic indicators, population statistics, and environmental metrics. 7. **Awesome Public Datasets**: - **URL**: [Awesome Public Datasets GitHub](github.com/awesomedata/awesome-public-datasets) - **Description**: A GitHub repository with a curated list of high-quality public datasets, organized by category. 8. **The European Union Open Data Portal**: - **URL**: [European Union Open Data Portal](data.europa.eu/euodp/en/home) - **Description**: Offers datasets published by EU institutions and other bodies, covering various sectors. 9. **UNdata**: - **URL**: [UNdata](data.un.org/) - **Description**: Provides a wide range of datasets from the United Nations on global issues such as health, education, and economic development. 10. **IMDb Datasets**: - **URL**: [IMDb Datasets](www.imdb.com/interfaces/) - **Description**: Contains data related to movies, TV shows, and other content from the IMDb database. ### Tips for Using These Datasets: 1. **Read the Documentation**: Understanding the context and structure of the dataset is crucial for effective analysis. 2. **Start with Small Projects**: Begin with smaller datasets and simpler analyses to build your confidence. 3. **Experiment with Different Tools**: Use various tools and libraries (e.g., SQL, Python, R) to analyze the data. 4. **Join Communities**: Engage with communities like Kaggle or Reddit's r/datasets to get feedback and inspiration. Feel free to ask if you need guidance on a specific dataset or project idea!

Hi, yes you can get in the field of data Analytics, since you have done IBM certification I would recommend doing some projects which you can put on your resume.

Hi, yes you can get a job in Data Analytics if you have basic data analytics skills. I recommend doing a couple of projects and getting a certification. Thank you.

​@@AshInTechThank you sir

Hi, it is not difficult to get into data analytics if you are from a non-tech background, the only requirement is that you should like and enjoy the data analytics and its learning journey. Start by enrolling in a free online course. There are a lot of options on KZfaq.

yes, to be a good data analyst who stands out you need to know Python.

1. Real Estate Market Analysis: • Objective: Analyze real estate market trends using publicly available data. • Tasks: • Collect data on property prices, sizes, locations, and other relevant attributes. • Clean and preprocess the data. • Perform exploratory data analysis (EDA) to uncover trends and patterns. • Create visualizations to present your findings. • Build a predictive model to forecast property prices. • Tools: SQL, Python (pandas, matplotlib, seaborn, scikit-learn). 2. Customer Segmentation for a Retail Business: • Objective: Segment customers based on purchasing behavior to improve marketing strategies. • Tasks: • Gather transaction data from a retail business. • Clean and preprocess the data. • Use clustering techniques (e.g., K-means) to segment customers. • Analyze each segment’s characteristics. • Provide recommendations for targeted marketing campaigns. • Tools: SQL, Python (pandas, matplotlib, seaborn, scikit-learn). 3. Sales Performance Dashboard: • Objective: Create an interactive dashboard to monitor sales performance. • Tasks: • Collect sales data from a business. • Clean and preprocess the data. • Design and develop an interactive dashboard using a tool like Tableau or Power BI. • Include key performance indicators (KPIs), trends, and drill-down capabilities. • Tools: SQL, Python (pandas), Tableau or Power BI. 4. Social Media Sentiment Analysis: • Objective: Analyze public sentiment on a specific topic or brand using social media data. • Tasks: • Collect social media data using APIs (e.g., Twitter API). • Clean and preprocess the data. • Perform sentiment analysis using natural language processing (NLP) techniques. • Visualize sentiment trends over time. • Tools: Python (pandas, NLTK or spaCy, matplotlib, seaborn). 5. Financial Data Analysis: • Objective: Analyze financial data to provide investment insights. • Tasks: • Collect historical stock price data and financial reports. • Clean and preprocess the data. • Perform EDA to identify trends and patterns. • Develop a model to predict stock prices or evaluate investment portfolios. • Tools: SQL, Python (pandas, matplotlib, seaborn, scikit-learn).

@@AshInTech dayum thank u so much

Yes, you can. login into your Microsoft online account using www.office.com/, then from the application list, click on Excel.

you can definitely do a certification. let me know if you have any questions. Like and Subscribe

here is the video covering step by step instructions on how to learn SQL kzfaq.info/get/bejne/aZOnmMKAldyahYE.html Posted today, like and subscribe. Thank you

You should be able to find me using my name Ashwani Panwar

A gap year should not be a big issue, do a project and show that.

Definitely, I will be making a video about that soon.

Hi @sumitagarwal9080 I covered all the points in my video but check below for your reference- 1. Determine your skillset: Like your SQL and Python. 2. if you don't have experience in SQL, or Python then work on learning them. Take a course or watch a tutorial on KZfaq. 3. Work on learning powerBI or Tableau. Since you are a student, you should be able to download and access Tableau for free. Use the test dataset to create reports. 4. Work on your communication skills. 5. Work on several projects to add to your resume. 6. Apply for internships in your 2nd year and 3rd year vacation. 7. Prep for the Interview by solving leetcode questions and giving Mock interviews. 8. Apply for Jobs. Let me know if you have any other questions. Subscribe and share the video with your friends. Thank you, Ashwani

Could you please tell me that what topics in the python should we learn. What are most used topics in the python like everyone say learn python but nobody tells what topics should we go for?

@@AshInTech thanku sir for your suggestion nd tips

Hi @procap1028 before we deep into python make sure your basics about the language are clear. Second: you need to understand how to manipulate data in python- learn the use of libraries like NumPy and Panda. Third: you need to know data visualization using python- learn the use of libraries like Seaborn, Matplotlib For AI and ML learn Tensorflow. www.tensorflow.org/tutorials pypi.org/project/pandas/ seaborn.pydata.org/ numpy.org/ matplotlib.org/ and to be expert, just find a test dataset and use python to clean it, put some visuals, this way you will learn more. Let me know if you have any more questions. Subscribe and share the video Thank you & kind regards, Ashwani

@@AshInTech Dil se shukriya bhai 🫶, I have already subscribed to you✅

Yes, definitely

sure, here are couple of options support.microsoft.com/en-us/office/excel-video-training-9bc05390-e94c-46af-a5b3-d7c22f6990bb www.youtube.com/@ExcelCampus

Hahaha, good catch I also realized that after recording. I have switched to better equipment, this will not happen again.

AI will definitely replace jobs but if you are the best person in your field and you are learning new skills then you will be okay.

@@AshInTechwhat are the new skills that an aspiring data analyst needs to be upskilling in this era?

dandwat parnaam sir g

Hi @MHb789 , sure, you do need to know Sql, python, data visualization tool, Statistics and AI-ML.

Are bhai nahe legi job ai help karne aaya hai oata nahi tumlog kyu darte ho...

Hi, it totally depends on your interest. if you want to specialize in the field of Data Science then go with Bsc DS else go with CS. Data science is going to be huge in the future. Try doing some basic certification to explore your interest before you enroll full-time in a course.

Hi, this video covers all the points and steps that you need to know to become a data analyst. Start from SQL.

@@AshInTech Sir, when I have to learn about Excel?

@@akanksha8745 good question, sql excel, python and data visualization tool are the building blocks

@@AshInTech Ok thank you sir so I have to start from learning SQL

Yes

USA

@@AshInTech I am also from the USA, so I have a question Are there scope and opportunities to be a data analyst?

Yes, there is plenty of scope for the data analyst. A lot of future jobs are going to be related to data.

bilkul, mein hindi mein banounga video. thank you