Batch Weekend & Week Days
Software 80 + Tools
Syllabus 15+ Modules
Duration 1 Year
Course Fee Rs. 1,25,000
Certificates 10+ Certificates
Naye Skills Aur Bane Digital Experts !
Why we choose data science as career option –
Data science stands out as an appealing career choice due to a convergence of factors that make it both rewarding and in high demand. At its core, data science involves extracting insights from large datasets using a blend of statistical analysis, machine learning algorithms, and domain expertise. Here are several reasons why pursuing a career in data science can be advantageous.
Firstly, the demand for data scientists continues to surge across industries. Companies recognize the immense value of data-driven decision-making and are actively seeking professionals capable of extracting actionable insights from complex datasets. This demand spans diverse sectors, including technology, finance, healthcare, retail, and manufacturing, creating abundant job opportunities for skilled data scientists.
Moreover, data science roles often come with attractive compensation packages, reflecting the specialized skills and expertise required. Data scientists typically enjoy lucrative salaries and benefits, making it a financially rewarding career option. Additionally, the field offers diverse opportunities for career growth and advancement, allowing individuals to specialize in areas such as machine learning, artificial intelligence, data engineering, and more.
Furthermore, data science enables professionals to engage in impactful work with real-world implications. By leveraging advanced analytics techniques and machine learning algorithms, data scientists can uncover patterns, trends, and insights that drive business outcomes and inform critical decisions. Whether it's optimizing supply chain operations, improving healthcare outcomes, or enhancing customer experiences, data science plays a pivotal role in driving innovation and societal progress.
Moreover, data science roles often provide flexibility in terms of work arrangements and remote work opportunities. With the rise of remote work trends, many companies offer flexible work arrangements, allowing data scientists to work from anywhere in the world. This flexibility not only improves work-life balance but also enables professionals to pursue their passions and interests outside of work.
Finally, the future prospects for data science professionals are promising, with the field expected to continue growing and evolving. As industries increasingly embrace digital transformation and leverage data-driven strategies, the demand for skilled data scientists is expected to rise further. This trend ensures that data scientists will remain in high demand and valued in the job market, providing long-term career stability and opportunities for growth and advancement.
Why WebMOk –
At Webmok, we offer a comprehensive and industry-relevant data science program designed to equip individuals with the skills and knowledge needed to excel in this rapidly evolving field. Our one-year course is meticulously crafted by experienced professionals, ensuring that students receive a holistic education that covers the latest techniques, tools, and technologies in data science.
What sets us apart is our commitment to quality education and practical learning experiences. Our team of seasoned experts brings years of hands-on experience in data science, enabling students to learn from real-world examples and case studies. Additionally, our well-established placement cells work tirelessly to connect our graduates with leading companies and organizations, providing them with valuable career opportunities upon completion of the program.
Moreover, at Webmok, we understand the importance of recognition and validation in today's competitive job market. That's why we offer a prestigious certificate upon successful completion of our data science course, empowering our students to showcase their expertise and credibility to prospective employers.
Whether you're a beginner looking to kickstart your career in data science or a professional seeking to upskill and stay ahead of the curve, Webmok is the ideal choice for your learning journey. Join us today and embark on a rewarding path towards success in the dynamic world of data science.
Module 1:Python
| Python Introduction | Python basics |
| Python objects | Python variables |
| Python datatypes | Python control statements |
| Python data structures | Python functions |
| Python classes | Python lambda |
| Python pip | Python Regex |
| Python iterators |
Module 2 : File handling
| Open file | Read file |
| Create new file | Write in file |
| Delete file |
Module 3 : Python libraries
| Numpy | Pandas |
| Matplotlib | Seaborn |
| Plotly | Scipy |
| Beautyfulsoup | Scrapy |
Module 4 : Database
| Introduction to database | SQL basics |
| SQL data types and constraints | MySQL database |
| Create table | SQL joins |
| SQL commands | Sql clauses |
| Intro to NO SQL database |
Module 5 : Mathematical foundation for data science
| Overview of statistics | Advanced statistics |
| Graph theory | Probability |
| Conditional probability | Set theory |
| Hypothesis testing |
Module 6 : Data manipulation and analysis
| Advanced pandas | Plotting with pandas |
| EDA(exploratory data analysis) |
Module 7 : Data visualization
| Basis understanding of graphs | Matplotlib |
| Seaborn | Plotly |
Module 8 : Machine Learning
| Intro to machine learning | Supervised ML |
| Unsupervised ML | Semi supervised ML |
| Reinforcement ML |
Module 9 : Advanced machine learning and algorithms
| Linear regression | Polynomial regression |
| Logistic ML algorithms | SVM(support vector machine) |
| Decision tree | Random forest |
| Naïve bayes | K-nearest neighbour |
| K means clustering | PCA(principal component analysis) |
| XGBoost | Gradient descent |
| Feature selection techniques |
Module 10 : Feature engineering
| Introduction to Features Engineering | Transforming Predictors |
| Feature Selection methods | Backward elimination technique |
| Feature importance from ML modelling |
Module 11: NLP (natural language processing)
| Intro to NLP | Basics of NLP libraries and modules |
| nLTK | spacy |
Module 12: Deep learning
| Introduction to Deep Learning | Introduction of Neural Networks |
| ANN (artificial Neural Network) | CNN (Convolutional Neural Network) |
| RNN (Recurrent Neural Network) | Deep Learning Framework(Tensorflow,Keras,PyTorch) |
| Tensorfolow | Keras |
| Pytorch |
Module 13 : Big data
| Intro to big data | Big data tools |
| Big data analytics | Hadoop ecosystem |
| HDFS | Map reduce |
| Hive | Pig |
| Scoop | Oozie |
| Spark |
Module 14 : Advanced data science
| Time series forecasting | ARIMA model |
| ML model deployment with flask |
Module 15 : Cloud computing
| Intro to cloud computing | Intro to cloud computing platforms |
| AWS (amazon web service) | microsoft -Azure |
| GCP |
Module 16 : Computer vision
| Intro to computer vision | Image processing |
| Image processing techniques | Feature extraction |
| Image segmentation | Object detection |
| Image restoration | Motion analysis |
ko choone ka khaas mantra aur features sekhein yaha.
Masters and Ph.D.s are typically asked for Research-focused data science roles. Most companies do not require a Master's degree for a Data Science role.
For learners who show interest in publishing in the data science domain, we would be happy to provide mentorship and support.
The WEBMOK community has people working worldwide. The bottleneck is in getting a visa sponsorship. Many companies based in India offer opportunities for their high-performing employees to work on international data science projects and relocate. Some international companies also hire directly in India and ask to relocate for jobs. However, with the surge in WFH, this trend may be ebbing. However, you can continue applying for remote data science jobs based outside India via LinkedIn.
Yes, there is a WEBMOK community where students can interact and collaborate with each other.
WEBMOK offers multiple support channels for students, including community Slack and WhatsApp groups for collaboration, dedicated problem-solving support on the dashboard, and WEBMOK support through email, chat, and phone for any concerns or queries.
All the Maths required for understanding and implementing algorithms will be covered in this Data Science training (Probability, Statistics, Linear Algebra, Calculus, Coordinate Geometry).
WEBMOK data science program is instructor-led, ensuring you have guidance and support throughout your learning journey.
If you find it challenging to balance your job or schedule with class timings, you can catch up by watching the recorded lectures OR we will schedule a timimg which is suitable for you accordingly.
Yes, you can access course materials and lectures for up to 6 months after completing the course.
If you miss a lecture, you can still watch it ONLINE, and it won't affect your attendance.
WEBMOK Data Science certification is highly regarded in the industry. It's recognized for its comprehensive curriculum and hands-on approach, making you job-ready.
No, you won't receive a Data Science course completion certificate without a certain grade or score, but you can obtain an enrollment document.
WEBMOK Data Science certification is a lifetime certification, meaning it doesn't expire. Once you earn it, you can proudly showcase your expertise in data science throughout your career.
To earn WEBMOK Data Science certification, you need to successfully complete all the required course modules, assignments, and projects. You'll be assessed based on your performance throughout the program.
A: Our career services team assists students in finding internships by connecting them with our network of industry partners, providing resources for internship searches, and offering guidance on application processes and interview preparation
A: Yes, internships are a crucial component of our program. They provide students with real-world experience, help them apply their knowledge in practical settings, and enhance their employability. We have partnerships with numerous companies to offer a wide range of internship opportunities.
A: Our career services team offers a variety of resources to support job placement, including: • Job placement assistance and recruitment fairs • Resume and cover letter workshops • Interview preparation sessions • On-campus recruiting by top companies • Internship and co-op opportunities • Job search strategies and tools
The average salary for a data scientist in India is ₹9.4 Lakhs per year, with a salary range of ₹4.20 Lakhs to ₹25.1 Lakhs.
Absolutely! WEBMOK goes the extra mile to ensure your success. We provide resume building, referrals, mock interviews, and career counseling to help you land your dream job with top companies.
After completing the data science course, you can explore various job roles, including: • Data Scientist • Data Analyst • Machine Learning Engineer • Data Engineer • Business Analyst • Data Consultant • Research Scientist • Big Data Engineer • Statistician • AI Specialist Which top Industries are hiring data scientists? • Technology • Finance and Banking • Healthcare • Retail and E-commerce • Manufacturing • Government and Public Sector • Media and Entertainment • Energy • Education • Transportation
Yes, Data Science is an excellent career choice in 2024. The field is growing rapidly, with high demand for professionals due to its continued relevance and the increasing importance of data-driven decisions.
A: Yes, Data Science roles are in high demand across various industries due to the increasing importance of data-driven decision-making. This demand translates to strong job prospects and competitive salaries for graduates.
A Data Scientist designs new data approaches, while a Data Analyst interprets existing data. Data Scientists create innovative ways to collect and analyze data, while Data Analysts extract insights from available data.
To become a Data Scientist, follow these steps: • Learn the fundamentals of programming and statistics. • Acquire knowledge in machine learning and data analysis. • Build a strong portfolio of projects. • Pursue relevant courses. • Apply for Data Scientist positions.
A data scientist is an expert in data science who specializes in collecting and analyzing large amounts of data from diverse sources. They use their skills in mathematics, statistics, and computer science to help organizations make informed decisions based on data analysis.
Data science can be challenging, as it requires a solid understanding of mathematics, statistics, and programming. However, with dedication and the right resources, it's accessible to those willing to learn.
Data science is a field of computer science that uses various algorithms, methods, and machine learning to uncover hidden and meaningful insights in both structured and unstructured data
A coding background is not required to enroll in this Data Science training. You can start from the Beginner module in which we will cover the basics of coding. In fact, prior knowledge in Data Science or ML is also not needed. We will cover all the relevant topics from scratch. The only prerequisite is that you should have a basic understanding of 9th and 10th-grade school maths - just the basics, nothing advanced. Still, we will cover these topics in class, but some prior knowledge would be helpful.
WEBMOK Data Science and Machine learning program is open to both freshers and working professionals. who are comfortable and confident with 10 standard aptitudes and mathematics.
In WEBMOK Data Science certification course, you'll acquire a wide range of skills, including: • Beginner skills in Excel, SQL, and Python. • Data analysis and visualization using Python libraries, probability, and statistics. • Foundations of machine learning, deep learning, and neural networks. • Specializations in either machine learning or deep learning. • Data mining • Big data analytics and cloud computing • Advanced knowledge in machine learning operations, data structures, and algorithms to excel in the field.
Yes, there is an eligibility test called the WEBMOK entrance test for enrolling in WEBMOK's Data Science program.
- Get to work on 50+ hands-on projects and real-world case studies to enrich your learning experience. - Get 1:1 Mentorship from Expert Data Scientists and ML Engineers! - Up-to-date curriculum with the fast -evolving Data Science and ML field. - Master essential tools and languages used in data science and machine learning. - Get Expert career guidance to help you navigate your path in data science.
Absolutely! WEBMOK offers a top-notch data science course designed to equip you with the skills and knowledge needed to excel in this field. Our program emphasizes hands-on learning with real-world projects and 1:1 mentorship from industry experts. We believe in providing practical experience that translates directly to the workplace. With our comprehensive curriculum and career support services, WEBMOK is an excellent choice for anyone looking to kickstart or advance their career in data science.
The total Data Science course fees is ₹150,000. With EMI, you can pay this fees 3 installation.
While designing the WEBMOK Data Science course, we did not put any limit on the duration. We included each and every concept that is important for making you a strong Data Scientist and ML Engineer. The course turned out to be 12 months long with more hands-on experience. Notice that the course is quite rigorous; each week you will have 4 Live lectures of 2.5 hours each, homework assignments, business case project, and discussion sessions. This allows us to cover the entire depth and breadth of Data Science & Machine Learning, as much as is required for you to succeed in the role.
25 data science projects will be assigned in homework and others will be covered in class. In each case, we will focus on a particular portion that is relevant to the topic being covered that week. Each case study is discussed in class, at the end of the week (Business Case Discussion Session) Submissions from all students are posted on an internal Discussion Forum where you can read how other students have solved that particular problem. Students are allowed to drop 25% of the total case studies, depending on their interest area. So they can focus the remaining time on other cases of their interest. As students practice working under deadlines, their speed and productivity will hopefully start improving.
Live classes are held 3 times a week, on alternate days, primarily in the late evening or night on weekdays to accommodate working software engineers. Weekend timings are flexible
While designing the WEBMOK Data Science course, we did not put any limit on the duration. We included each and every concept that is important for making you a strong Data Scientist and ML Engineer. The course turned out to be 15 months long with more hands-on experience.
Yes, you have the flexibility to attend WEBMOK’s Data Science online course on a part-time basis. In case you miss a live class, you can always access the recorded sessions. You can also take a break of up to 3 months, all this within the course duration.
WEBMOK Data Science and Machine Learning program is considered one of the best data science courses because- • Covers all essential data science topics, ensuring a holistic learning experience. • Emphasis on hands-on projects equips students with real-world skills, setting them up for success in the field. • Industry experts as instructors provide invaluable insights and knowledge. • WEBMOK's industry connections and placement assistance enhance job prospects. • The program caters to diverse backgrounds, offering flexibility in learning for all.
This Data Science course is designed for everyone, even if you have no coding experience. We offer a Beginner module that covers the basics of coding to get you started.
