Archives: FAQs

During the course, you will work on real-world projects and a capstone project that integrates all the concepts you’ve learned, such as data analysis, machine learning, and big data techniques. These projects will help you develop practical experience and provide valuable content for your portfolio.

The program covers a range of topics, including: Data analysis fundamentals Data visualization using tools like Excel, Tableau, and Power BI Data manipulation and cleaning Machine learning algorithms (supervised, unsupervised, and reinforcement learning) Big data, deep learning, and natural language processing Time series analysis and more

 No prior programming knowledge is required. The course starts with the basics of programming using Python, which is widely used in data science and analytics. You’ll learn how to use it effectively for data manipulation, analysis, and machine learning tasks.

 Yes, you will receive a certification from DreamsPlus upon completion of the program. Additionally, you will receive guidance and support to help you prepare for global certifications in data analytics, ITIL, and Scrum, although exam fees for these certifications are not included in the program.

You will work with several industry-standard tools and technologies such as: Excel, Tableau, Power BI for data visualization Pandas, NumPy for data manipulation and cleaning Scikit-learn, TensorFlow, Keras for machine learning and deep learning Hadoop, Spark for big data processing Python for programming and data science

 Yes, the program includes a one-month internship where you’ll apply your skills in a real-world setting. Additionally, placement coaching will be provided to help you secure a job in the data science field. You will also receive an experience letter to enhance your resume.

 The program lasts for 6 months, divided into 6 phases: Month 1: Data Analysis Fundamentals Month 2: Data Science Fundamentals Month 3: Data Wrangling and Preprocessing Month 4: Machine Learning and Modeling Month 5: Advanced Data Science Topics Month 6: Capstone Project and Internship

This program is tailored for beginners who are interested in starting a career in data science and analytics. It is perfect for individuals with no prior experience in the field but who have an interest in learning how to analyze, interpret, and leverage data to make informed decisions.

The Data Analysis and Data Science Program is a 6-month course designed to introduce beginners to the world of data science and analytics. It combines theoretical knowledge with hands-on practice, covering key topics such as data visualization, machine learning, big data, and advanced analytics, along with skill development in ITIL v4 and Agile Scrum Basics.