WHY CORPORATE KNOWLEDGE SOLUTIONS?
Whether you’re looking for a rich cultural experience or superior IT Training education, you’ll find both in the exciting environment of Corporate Knowledge Solutions.
We provide thorough online training in many different areas, including Data Science, Cyber Security, Project Management, Digital Marketing, Cloud Computing, Quality Assurance, and many others. In other words, we focus on industries where demand for skilled workers outpaces supply and where technology and best practises are rapidly evolving.
Since our inception, we have concentrated on creating cutting-edge learning methodologies by working with students and knowledgeable faculty, as well as on offering people and businesses high-quality training materials that help professionals achieve their professional goals and advance their careers.
We collaborate with some of the best schools and certification bodies in the world and strive to offer top-notch education to professionals all around the world. We have a track record of successfully training thousands of people.
DATA SCIENCE & AI TRAINING
Here are some of the reasons you’ll be glad you choose Corporate Knowledge Solutions:
- A Wealth of Experience, a Reputation for Excellence
- Locations Throughout City
- Affordable Cost
- Convenient Schedules
- Certificate You’re Proud to Present
- Quality Control
Learn with Corporate Knowledge Solutions
You need to speak at least a little bit of the language to share conversations with people, discover cultures, and enjoy new experiences. That feels obvious.
But a lot of learners don’t practice speaking enough. So as soon as you can understand the words you’ve learned, you need to practice speaking them yourself.
What happens when you learn in data science and aI ?
One of the key motivations to explore a career in data science is the increased need for experts with these talents. Since data science is utilised by all sectors of the economy, there are several job prospects. Data science is also a very profitable field. Additionally, a career in data science can be highly fulfilling. as an issue to be solved. In addition, the subject of data science is constantly developing, with new technology and methods appearing all the time. There is always room for improvement and this is always your career.
In recent years, data science occupations have emerged and grown in popularity. Aspiring data scientists may wonder
DATA SCIENCE
The Data Science Master’s program at CKSIT is designed by professionals in the field to give students a thorough understanding of the concepts and methods used in data science through significant classroom work and practical projects. Students will receive practical experience in machine learning model building and implementation, python data analysis, and decision-making. With the help of our thorough curriculum, students will be equipped to create cutting-edge data science solutions that will satisfy the needs of any enterprise. Join us now to become a data science professional with international recognition!
AI & MACHINE LEARNING
Artificial intelligence (AI) is the term used to describe the creation of computer systems that are capable of carrying out tasks that normally call for human intelligence. Among other things, these activities can entail understanding natural language, making judgments, identifying patterns in images, and playing games. To provide robots the ability to learn from experience, recognize patterns and insights, and make decisions, artificial intelligence (AI) uses algorithms, statistical models, and computational approaches. AI systems may be created to operate independently or they may be created to collaborate with people to improve their capabilities and decision-making skills. Machine learning, natural language processing, computer vision, robotics, and expert systems are just a few of the many subfields of AI. Numerous industries, including healthcare, finance, transportation, and entertainment, have used AI.
The development of algorithms and statistical models that allow computer systems to learn from data and make decisions based on it without being explicitly programmed is known as machine learning (ML), which is a subfield of artificial intelligence (AI). Making it possible for machines to learn from experience and gradually get better at a task is the aim of machine learning (ML). Large collections of instances can be used to train machine learning (ML) algorithms, which then use this data to find patterns, relationships, and insights that human analysts would not see right away. ML algorithms come in a variety of forms, such as reinforcement learning, unsupervised learning, and supervised learning. Training a model on labeled data requires supervised learning, where the right answer is already known for each input. Unsupervised learning entails building a model from raw data and letting it find patterns and structures on its own. With reinforcement learning, an algorithm is trained to make decisions based on a reward system and then learns from its mistakes. Natural language processing, computer vision, speech recognition, recommendation systems, fraud detection, and predictive maintenance are just a few of the many areas in which machine learning is used.
Data Analytics and ai Course FAQ's
The Data Science Course at CKSIT is a systematic learning route that top industry professionals suggest. It guarantees that you become an expert in data analytics while teaching you how to use technologies like R, Tableau, Python, Qlikview, SAS, Advanced Excel, and Machine Learning. Individual courses emphasize specializing in one or two particular abilities, but if you want to become a data scientist, this is the route you should take.
The CKSIT Data Science Course was put together after extensive research and suggestions from professionals in the field. Students can address the need for comprehensive knowledge in numerous fields with the help of the online Data Science Masters program.
Enrollment in the CKSIT Data Science Course has no prerequisites. Our data analysis online course is intended and built to fit a variety of professional backgrounds, whether you are a seasoned professional working in the IT business or an aspirant wanting to enter the world of data science.
Professional Data Sciences with Good products are used by many firms. Amazon, Google, Facebook, Microsoft, Apple, Uber, and Airbnb are some of the top companies that hire data scientists. Companies like JPMorgan Chase, Goldman Sachs, and Pfizer routinely hire Data Science experts outside of the IT sector. The well-organized Data Analytic course offered by CKSIT aids professionals in learning subjects through hands-on project experiences. So they can clear the interview and be placed in Top MNCs easily.
This Data Science Certification program should be completed in — weeks,
The best candidates for this Data Science course are aspiring professionals with an analytical mindset from any educational background, including IT experts. Banking and financial experts marketing executives professionals in sales network managers for the supply chain Beginners in the field of data analytics Graduate and undergraduate students
You will possess the abilities required to land your ideal career once you have successfully completed the Data Science certification course. Besides data science, several more job titles are listed below: Manager of data analytics and chief engineer for business intelligence Senior/Business Analyst for Analysis various management positions Analyst for business intelligence
After a rigorous selection process, our instructors are highly qualified experts with at least ten years of experience. In addition to technical proficiency, we look for enthusiasm and passion in our instructors. Following shortlisting, participants participate in a 4-month training course. Each instructor’s performance is evaluated by students after each class, and to remain on the CKSIT Faculty, they must maintain a continuous rating of at least 4.5 out of 5. Enroll now with our Data Science course and learn under the guidance of India’s top instructors.
The best Data Science certified candidates are in high demand these days across a variety of industries, including retail, banking, healthcare, and IT. With the aid of this Data Science certification program, you can advance your career in the enormous Data Science/Analysis market and apply for well-paying employment as a Data Engineer across a range of industries. Numerous job openings for Data Science professionals are available at prestigious organizations like TCS, Infosys, Apple, Honeywell, Google, IBM, Facebook, Microsoft, Wipro, United Healthcare, and TechM.
Data Sciences will be highly sought-after in the future due to the digital change occurring across all industries. Suppose someone is skilled in statistics, mathematics, and data management and has a background in computer science or a related discipline. The Data Science position would then be a suitable fit for them. To start learning the skills you need for success, enroll in our online Data Science course.
In the market, there are numerous credentials that are in high demand. Some of the most significant certifications that are in great demand across numerous corporate sectors include the Cloudera Certified Associate (CCA) Data Science Certification, the Certified Analytics Professional (CAP), the Associate Certified Analytics Professional (aCAP), and the Microsoft certification in Data Analytics. Your Data Science Career Journey begins with CKSIT’s Data Science certification course, which will help you pass all of those certification examinations quickly.
You can master all the fundamental and advanced subjects necessary for a Data Science career with the aid of our training. By working on capstone projects, you will gain practical experience in addition to theoretical knowledge, making you industry-ready. The Data Analysis course is designed expressly to provide the skills that businesses look for in candidates with a Data Science degree.
We are delighted when you ask more questions since it shows that you are trying to learn. All of your questions will be addressed by our instructors during class, PLMs will be on hand to address any functional or technical Data Analytics questions, and we’ll even go so far as to address your concerns via screen sharing. If you are dedicated to learning, we will work ridiculously hard to ensure that you master all of the principals involved in data analysis.
Yes. For novices, the CKSIT Data Science Course Master’s Program is ideal. Many professionals desire to transition into data science/analysis or start in this field. This Data Science course will help you learn everything from scratch.
Among the various data-centric roles accessible in business today, data sciences are unique. Data gathering, interpretation, analysis, and reporting to the relevant team are the main emphasis of the data science role. Finding patterns and trends in data sets is another function of data science. They collaborate with organizations or management groups to establish business requirements, create fresh methods for gathering and analyzing data, and add genuine value to the business.
Data Science training is not just required for IT workers. The Data Science Master Training Course was successfully completed by several professionals without an IT background, and they all passed the CAP and aCAP exams on their first try. Well Experienced mentors and real-time projects work helps you to become a professional Data Scientist in a short period.
The Data Science Course offers current and worthwhile real-world tasks to help you improve your practical abilities. This enables you to apply your freshly learned information to actual business situations. The curriculum contains a variety of tasks to put your knowledge to the test and make sure you are ready for the industry.
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Data Science & AI Training Program SYLLABUS (150 hOURS)
Module 1: Introduction to Data Science
• Introduction to Data Science and its applications
• Basics of Python programming
• Data manipulation with pandas
• Data visualization with Matplotlib and Seaborn
Module 2: Statistics and Probability
• Descriptive statistics
• Inferential statistics
• Probability distributions
• Hypothesis testing
• Regression analysis
Module 3: Data Preprocessing and Cleaning
• Data cleaning techniques
• Handling missing data
• Data scaling and normalization
• Feature engineering
Module 4: Machine Learning Fundamentals
• Supervised learning algorithms (e.g., Linear Regression, Decision Trees, Random Forest)
• Unsupervised learning algorithms (e.g., K-Means, PCA)
• Model evaluation and validation
• Cross-validation techniques
Module 5: Advanced Machine Learning
• Support Vector Machines
• Neural Networks and Deep Learning
• Ensemble methods (e.g., AdaBoost, Gradient Boosting)
• Model selection and hyperparameter tuning
Module 6: Natural Language Processing (NLP)
• Text preprocessing
• Bag of Words, TF-IDF
• Sentiment analysis
• Named Entity Recognition (NER)
• Text classification with machine learning and deep learning.
Module 7: Time Series Analysis
• Introduction to time series data
• Time series decomposition
• ARIMA models
• Forecasting techniques
Module 8: Big Data and Distributed Computing
• Introduction to Big Data
• Hadoop and MapReduce
• Apache Spark
• Distributed data processing
Module 9: Data Visualization and Dashboarding
• Advanced data visualization with libraries like Plotly
• Interactive dashboards with tools like Tableau or Power BI
• Storytelling with data
Module 10: Data Ethics and Privacy
• Ethical considerations in data science
• Data privacy regulations (e.g., GDPR)
• Bias and fairness in machine learning
Module 11: Capstone Project
• Work on a real-world data science project
• Apply skills learned throughout the course
• Present findings and solutions
Module 12: Internship
• Gain hands-on experience in a real-world data science role
• Apply knowledge and skills in a professional setting
• Learn from experienced data scientists
Module 13: Career Development
• Resume building and job application strategies
• Interview preparation
• Networking in the data science community
Module 14: Emerging Trends in Data Science
• Introduction to emerging technologies (e.g., AI, IoT)
• Stay updated with the latest developments in the field
Module 15: Final Assessment and Graduation
This one-year Data Science training program combines theory, hands-on projects, and real-world experience through an internship. It equips students with the necessary skills and knowledge to excel in the field of data science and launch a successful career.
