Data Science Training In Nagpur with placement guarantee
Join Zappcode Academy’s data science training in Nagpur. Gain practical experience with live projects, secure an internship, and download the syllabus to begin your learning journey.
- Expert Trainer
- Affordable Fees
- Placement Opportunities
- Hands on Training
- Flexible Timings
- Industry Based Training
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Data Science Training in Nagpur: Exploring Course Duration and Fees
Data science has attracted many due to its blend of statistics, programming, and domain knowledge. But how long does it take to explore this vast field? The duration of Data Science Training in Nagpur varies based on personal and professional background, learning speed, and the chosen program.
Why Data Scientists Are in Demand ?
Data scientists are in high demand due to their ability to analyze and interpret complex data, which helps companies make data-driven decisions. With the rapid growth of data across industries like healthcare, finance, and retail, businesses are relying more on skilled data professionals to extract insights that drive innovation and improve efficiency. In India, data science offers promising career opportunities with competitive salaries, making it a sought-after field for aspiring professionals.
Why Choose Us ?
At Zappcode Academy, our focus is on providing hands-on training that helps you gain practical skills essential for success in data science. Our data science training in Nagpur simplifies complex concepts through clear, structured lessons, all while keeping the curriculum current with the latest industry practices. We ensure an engaging learning experience with personalized attention in small groups, along with practical projects that mirror real-world challenges. Our commitment goes beyond the classroom, offering mentorship and job placement assistance to help you confidently step into your data science career.
Our Curriculum ?
Our data science curriculum is crafted to cover all the key aspects of data science, including Python programming, machine learning, data visualization, statistics, and big data analytics. Each module is designed to build a strong foundation in both theory and practice, allowing you to develop the skills needed to work on real-world data science projects. With a focus on practical application, our curriculum ensures that you can immediately apply what you learn in professional settings.
About Our Instructor ?
Rashmi Joshi, our lead instructor for the data science training in Nagpur, brings over 10 years of experience in data science and machine learning. Her vast knowledge and expertise in handling large-scale data projects make her an invaluable mentor to our students. Rashmi is passionate about teaching and is dedicated to helping students grasp complex topics with ease. Her personalized teaching approach ensures that every student is guided through their learning journey, making data science accessible and understandable for all.
Fast Track (Bootcamps: 3-6 months):
Ideal for those with some programming experience, this Data Science Training in Nagpur offers an intense, time-focused curriculum. Courses are condensed, requiring full engagement from students.
Comprehensive Coverage (Master’s Degrees: 1-2 years):
For those seeking a deep dive into both theory and practice, a Master’s level Data Science Training in Nagpur is the best option. This path includes a structured classroom environment, lab work, and research opportunities.
Highlights Of Our Data Science Course In Nagpur
Why Choose Zappcode Academy
Trainers’s Profile Of Data Science Training In Zappcode
At Zappcode, our Data Science training is led by trainers with over 10 years of experience. They have successfully guided more than 100 students into jobs in the data science field. Our trainers are knowledgeable and committed to helping you achieve your career goals.
Get 100% Job Assistance by enrolling in Certified Data Science Training Course in Nagpur
Placement Initiative for our Students
Zappcode Academy's Job Assistance Program
They provide Interview preparation Guidance on interview techniques, common questions, and how to showcase your digital marketing knowledge, equipping students with the skills and confidence to succeed in Data Science interviews and beyond. Ideal for those seeking a data science training in Nagpur.
- Assured Training and Placement
- Placement Guidance
- Resume Building
- Mock interviews
- Drive Exams
- Provide Internship in Zappkode Solutions
Attend Free Demo
Fill the details and we will call you for further guidance
ENQUIRY FOR Data Science COURSE FEES in nagpur
Data Science Course Curriculam
Our Curriculum Program Covers Basic To Advance Level Content on Data Science
Data science context and situations where it is used and can be used.
Creating data science development environment (Python, Born-aids)
Basic data concepts: knowing, data types, variables, and data collection methods.
Python programming basics: the role of syntax (lists, dictionaries) in this programming language.
Developing skills to operate with functions, control flow, and if/else, loops is also a significant topic that this course provides.
Introductory part of the needed packages e.g. NumPy and Pandas.
Data cleaning techniques: filling up missing numbers, handling outliers, messing tracers.
Data wrangling with Pandas: data features extraction, feature selection, and transformation.
Consolidating and combining data from different sources provides a more holistic and accurate picture of social and economic realities.
A presentation of data using descriptive statistics is called summary statistics.
Data visualization techniques: bar diagrams, histograms, relationship diagrams
High-classifying strategies, patterns, and relationships of data.
Understanding core statistical concepts: which include such as the mean, the median, and the standard deviation.
Probability concepts: statistical function, conditional probability, and hence Bayes` theorem.
Provide a preamble on hypothesis testing and introduce the term statistical significance
However, it is important to realize that the execution takes place in an abstract machine known as an artificial neural model.
Deep learning architectures: application of convolutional neural networks (CNNs) for working with images.
Introduction to the fundamental components of optimizing neural networks (TensorFlow and Pytorch).
Sharing of fundamental concepts and issues associated with big data.
Using Hadoop and Spark Big data tools to achieve our purposes.
Distributed computing – as an approach to bypass acts of bulk data input.
Entailing data stories comprehensibly with the help of data visualizations is one key to success.
An information technology internship enables me to develop skills that are needed to transfer technical subjects to a non-technical crowd by speaking.
Developmental and deployment of data science projects oriented on practical targets.
Download Syllabus Broucher for more details
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Frequently Asked Questions
Data science is one of the mélange fields which involve statistics, computer science, and domain knowledge, to convert all the data into meaningful insights. It has tasks from data collection, getting information ready, modeling, analyzing, and interpretations that help solve today’s problems.
When we discuss data science, it should be noted that it can be multiple career practices. Various attractive options are available among which data analyst, machine learning engineer, data scientist, business intelligence analyst, and data architect are the most popular. The particular path of the degree relies on one’s interests and specialization.
The point here is that a degree in data science, statistics, computer science, or the one related is not necessarily a requirement. Now, most of the data scientists belong to different disciplines. Nevertheless, a solid foundation encompassing math, statistics, and programming has also been a must, which you can acquire through boot camps, other online courses, or self-study.
There will be a very high demand for data scientists in the next few years. For this reason, training data scientists is an extremely important task for educational institutions. The growing massive role of data across industries will mean that the services of data science experts are highly in demand, and these professionals are likely to experience enhanced career prospects.
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