# Top 10 Most Inspirational and Educational Movies To Watch

#### Movie list to get inspired, motivated, and expand your horizons

Image Source: [Wikipedia](https://upload.wikimedia.org/wikipedia/en/d/d3/The_Help_%282011_film%29.jpg)

*This is a movie list, in no particular order, that in my humble opinion everyone must watch. These are certainly not all but most of my favorite movies some of which got me* ***inspired****,* ***motivated,*** *or* ***taught*** *me a thing or two.*

> These movies will leave you speechless and they are very much realistic, after all, art imitates life, and as it turns out life imitates art too.

**Spoiler Alert**: There are a few spoilers in the descriptions of the movies combined with my subjective view on these movies, so feel free to skip them.

### 1: The Bookshop

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1723919524978/3961ca66-9280-4a94-a047-2b39e7adadea.jpeg)

Image Source: [Wikipedia](https://upload.wikimedia.org/wikipedia/en/d/db/The_Bookshop.png)

This movie, written and directed by [Isabel Coixet](https://en.wikipedia.org/wiki/Isabel_Coixet "Isabel Coixet"), is about Florence Green ([Emily Mortimer](https://en.wikipedia.org/wiki/Emily_Mortimer "Emily Mortimer")), a **strong**, **resilient, smart** and **innocent** woman who had a dream to open a bookshop in the small town of Hardborough, [Suffolk](https://en.wikipedia.org/wiki/Suffolk). Little did she know that by just doing her job and doing no harm, she would cause the agony of **mean**, **weak**, and **cruel** beings in the same town.

This is also a movie about unhearted people who use common narcissistic tactics such as **manipulation**, **gaslighting**, spreading lies about their target, isolating them, turning and agglomerating everyone against her with the goal to bully her, torture her, and eventually get rid of her by all means including illegal and unethical tactics. And all because they are frightened by the success of Emily’s bookstore and unable to succeed in healthy competition.

***Disclaimer****: the story has a happy ending so stay tuned till the end.*

<iframe src="https://www.youtube.com/embed/YP8wMfE9AcU?feature=oembed" width="700" height="393" frameborder="0" scrolling="no"></iframe>

### 2: The Help (2011)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1723919526586/f9f3a5e4-01af-40e9-806d-6f9860b236f7.jpeg)

Image Source: [Wikipedia](https://en.wikipedia.org/wiki/The_Help_%28film%29)

This is a great educational movie, written and directed by [Tate Taylor](https://en.wikipedia.org/wiki/Tate_Taylor "Tate Taylor") based on [Kathryn Stockett’s](https://en.wikipedia.org/wiki/Kathryn_Stockett). The Help is about African American maids’ point of view on the white families they work for, women who worked very hard but were treated very poorly, to say the least. This movie is also about the brevity of all these women and the courage of a young journalist, Skeeter Phelan (Emma Stone), who tells the maids’ story while knowing that telling the truth might potentially be life-threatening.

The movie is about **racism**, **discrimination**, **bullying**, **brutality**, and **inhumanity**. But it’s also an inspiring movie about **courage**, **hard work, kindness,** and the importance of staying human and speaking up when you see something bad happening.

The story has an incredible ending, revealing all the needy greedy nasty details about the hardships that all these brave women had experienced proving once again that the truth always comes out.

<iframe src="https://www.youtube.com/embed/XOTkNsxhECY?feature=oembed" width="700" height="393" frameborder="0" scrolling="no"></iframe>

### 3: Hidden Figures (2016)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1723919528595/68921e09-0437-42ec-a71e-c4234d06a5e8.jpeg)

Image Source: [Wikipedia](https://en.wikipedia.org/wiki/Hidden_Figures)

This movie is one of the most **inspirational** and **motivational** movies that every **woman** and every **immigrant** should watch. It tells the real-life story of three Black women (Katherine, Mary, and Dorothy) who worked at NASA in the 1960s. Despite the **racism**, **discrimination**, **inhumanity**, and **gender inequality**, these talented and hard-working women continue to pursue their dreams in the white and male-dominated industry.

In the end, due to their talent and resilience, they end up playing a crucial role in the launch of astronaut John Glenn into orbit proving that only collaborations of diverse and open-minded people will result in real impact.

<iframe src="https://www.youtube.com/embed/5wfrDhgUMGI?feature=oembed" width="700" height="393" frameborder="0" scrolling="no"></iframe>

### 4: Erin Brockovich (2000)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1723919530080/c596277e-9315-454b-b97c-3ebcf38ad1db.jpeg)

Image Source: [Wikipedia](https://en.wikipedia.org/wiki/Erin_Brockovich)

This inspirational and motivational movie is about a **strong**, **hard-working, smart,** and **confident** single mother who makes a huge breakthrough in a lawsuit against a very large corporation, [Pacific Gas & Electric litigation](https://en.wikipedia.org/wiki/Hinkley_groundwater_contamination), without having any law background or education.

This story, based on true events documented in an article about people getting personal injuries because of groundwater contamination, shows that **determination**, **humanity,** and **hard** work are more important than any degree.

<iframe src="https://www.youtube.com/embed/jjqUUxIy_yk?feature=oembed" width="700" height="393" frameborder="0" scrolling="no"></iframe>

### 5: Million Dollar Baby, малышка (2004)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1723919531798/3d3e4981-12fb-4e36-9c03-ee397d740ae0.jpeg)

Image Source: [Wikipedia](https://en.wikipedia.org/wiki/Million_Dollar_Baby)

This inspirational movie is about a **strong**, and **hard-working** woman who, against all expectations, becomes a world successful and famous boxer. It teaches that being too **kind**, sometimes, can be lethal and it’s important to recognize the time to step down before it’s too late.

The film follows Maggie ([Hilary Swank](https://en.wikipedia.org/wiki/Hilary_Swank)), a poor and novice boxer who convinces and gets help from an underappreciated boxing trainer (Clint Eastwood) and his help ([Morgan Freeman](https://en.wikipedia.org/wiki/Morgan_Freeman)) to achieve her dream of becoming a professional boxer. Maggie transforms from a waitress to a respected and wealthy professional until the horrible tragedy happens.

<iframe src="https://www.youtube.com/embed/5_RsHRmIRBY?start=12&amp;feature=oembed&amp;start=12" width="700" height="393" frameborder="0" scrolling="no"></iframe>

### 6: The Lark Farm (Արտույտների Ագարակը) 2007

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1723919533372/07ac348b-c89b-4751-8807-f1d61b820d24.jpeg)

Image Source: Wikipedia

***The Lark Farm*** or originally named in Italian, *La Masseria Delle Allodole,* is an Italian drama film, directed by [Paolo and Vittorio Taviani](https://en.wikipedia.org/wiki/Paolo_and_Vittorio_Taviani "Paolo and Vittorio Taviani"). This movie is based on the best-selling novel by [Antonia Arslan](https://en.wikipedia.org/wiki/Antonia_Arslan "Antonia Arslan") which revolves around an affluent Armenian family called the Avakians, living in Turkey and having two houses. The men in the family end up being killed at a family reunion and the rest of the family is sent into the Syrian desert where they will be left to rot.

It’s a movie about the first genocide in the 20th century, the [**Armenian Genocide**](https://en.wikipedia.org/wiki/Armenian_genocide) when at least 1.5 million Armenian have been brutally tortured and murdered because of their nationality and heritage. It’s about the **cruelty and inhumanity** but it’s also about **love** and **humanity**.

<iframe src="https://www.youtube.com/embed/_6ZzBvNKnww?feature=oembed" width="700" height="393" frameborder="0" scrolling="no"></iframe>

### 7: A Beautiful Mind (2001)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1723919535392/7cf089fe-257a-48a5-916b-cb1def70aec2.jpeg)

Image Source: [Wikipedia](https://upload.wikimedia.org/wikipedia/en/b/b8/A_Beautiful_Mind_Poster.jpg)

**A Beautiful Mind** is a biographical drama film, written by [Akiva Goldsman](https://en.wikipedia.org/wiki/Akiva_Goldsman) and directed by [Ron Howard](https://en.wikipedia.org/wiki/Ron_Howard), based on the life of the famous American mathematician [John Nash](https://en.wikipedia.org/wiki/John_Forbes_Nash_Jr. "John Forbes Nash Jr.") ([Russell Crowe](https://en.wikipedia.org/wiki/Russell_Crowe)) and his wife ([Jennifer\_Connelly](https://en.wikipedia.org/wiki/Jennifer_Connelly)), a [Nobel Laureate in Economics](https://en.wikipedia.org/wiki/Nobel_Memorial_Prize_in_Economic_Sciences "Nobel Memorial Prize in Economic Sciences") and [Abel Prize](https://en.wikipedia.org/wiki/Abel_Prize "Abel Prize") winner in Economics (Nash Theory).

It’s a powerful movie that will surprise you and will make you think with Nash every step of the way. It’s about the **mind**, desire to succeed, **true love,** and the fine line between **imagination** and **reality**.

<iframe src="https://www.youtube.com/embed/9wZM7CQY130?feature=oembed" width="700" height="393" frameborder="0" scrolling="no"></iframe>

### 8: The Pursuit of Happyness (2006)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1723919536954/8824f63f-e1ff-44e7-a0d9-66eec3da022b.jpeg)

image Source: [Wikipedia](https://en.wikipedia.org/wiki/The_Pursuit_of_Happyness)

**The Pursuit of Happyness** is an American biographical drama directed by [Gabriele Muccino](https://en.wikipedia.org/wiki/Gabriele_Muccino "Gabriele Muccino"). It’s a movie about a poor salesman, [Chris Gardner](https://en.wikipedia.org/wiki/Chris_Gardner "Chris Gardner") ([Will Smith](https://en.wikipedia.org/wiki/Will_Smith "Will Smith")) who becomes homeless. Chris’s son ([Jaden Smith](https://en.wikipedia.org/wiki/Jaden_Smith "Jaden Smith")) is also co-starring in the movie. The movie is based on the best-selling memoir written by Gardner and Quincy Troupe in 2006.

The movie is about Gardner’s continuing **struggle** being homeless, and how hard work, motivation, and faith can change your life from a homeless salesman to a rich investment banker.

<iframe src="https://www.youtube.com/embed/DMOBlEcRuw8?feature=oembed" width="700" height="393" frameborder="0" scrolling="no"></iframe>

### 9: Allied (2016)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1723919538566/779dd3b6-f65a-41fa-ad15-57db66daef5d.png)

Image Source: [Wikipedia](https://upload.wikimedia.org/wikipedia/en/4/43/Allied_%28film%29.png)

***Allied*** is a British-American war thriller film, written by [Steven Knight](https://en.wikipedia.org/wiki/Steven_Knight) and directed by [Robert Zemeckis](https://the-jh-movie-collection-official.fandom.com/wiki/Robert_Zemeckis "Robert Zemeckis"). The main characters in the movie are [Brad Pitt](https://the-jh-movie-collection-official.fandom.com/wiki/Brad_Pitt "Brad Pitt") playing the role of a Canadian intelligence officer and [Marion Cotillard](https://en.wikipedia.org/wiki/Marion_Cotillard) as a French Resistance fighter who is also a collaborator. Brad and Marion, are both World War II operatives who never reveal their true identities.

The story is about unplanned and unexpected **true love, where a**fter falling in love during a risky mission, the pair hopes to leave all the double-dealings behind them to start a new life. But, danger and suspicion follow their marriage as they both become pitted against each other, which results in a horrible end.

<iframe src="https://www.youtube.com/embed/Jlp94-C31cY?feature=oembed" width="700" height="393" frameborder="0" scrolling="no"></iframe>

### 10: War and Peace Война и мир (1965)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1723919540322/0955a56b-dc80-4ec0-8a5d-a1dc58c9285f.jpeg)

Image Source: [Wikipedia](https://en.wikipedia.org/wiki/War_and_Peace_%28film_series%29#/media/File:War_and_Peace_poster,_1967.jpg)

War and Peace, directed by [Sergey Bondarchuk](https://en.wikipedia.org/wiki/Sergei_Bondarchuk), is based on a famous literary work written by the Russian author [Leo Tolstoy](https://en.wikipedia.org/wiki/Leo_Tolstoy "Leo Tolstoy") published in 1869. A work, which is generally regarded as a masterwork of Russian literature and one of the world’s greatest novels. It is based on historical and philosophical events in 19th-century Russian society with a lot of mastery of realistic detail.

The movie begins in the Russian city of [St. Petersburg](https://www.britannica.com/place/St-Petersburg-Russia) in 1805, as fear of [Napoleon](https://www.britannica.com/biography/Napoleon-I)’s ongoing war-making begins to set in. Most of the characters are introduced at a party, including [Andrey Bolkonsky](https://www.britannica.com/topic/Prince-Andrey-Bolkonsky), the Kuragin and [Rostov](https://www.britannica.com/topic/Rostov-family) families, and [Pierre Bezukhov](https://www.britannica.com/topic/Pierre-Bezukhov). Most of the novel focuses on the interactions between the Bezukhovs, Bolkonskys, and Rostovs.

<iframe src="https://www.youtube.com/embed/3DqanxfecIA?feature=oembed" width="700" height="393" frameborder="0" scrolling="no"></iframe>

### Here are my other articles you may enjoy:

[**How To Crack Spotify Data Science Technical Screen Interview**  
*List of exact Python/SQL commands and experimentation topics you should know to nail Spotify Tech Screen*towardsdatascience.com](https://towardsdatascience.com/how-to-crack-spotify-data-science-technical-screen-interview-23f0f7205928 "https://towardsdatascience.com/how-to-crack-spotify-data-science-technical-screen-interview-23f0f7205928")[](https://towardsdatascience.com/how-to-crack-spotify-data-science-technical-screen-interview-23f0f7205928)

[**Simple and Complete Guide to A/B Testing**  
*End-to-end A/B testing for your Data Science experiments for non-technical and technical specialists with examples and…*towardsdatascience.com](https://towardsdatascience.com/simple-and-complet-guide-to-a-b-testing-c34154d0ce5a "https://towardsdatascience.com/simple-and-complet-guide-to-a-b-testing-c34154d0ce5a")[](https://towardsdatascience.com/simple-and-complet-guide-to-a-b-testing-c34154d0ce5a)

[**Fundamentals Of Statistics For Data Scientists and Data Analysts**  
*Key statistical concepts for your data science or data analytics journey*towardsdatascience.com](https://towardsdatascience.com/fundamentals-of-statistics-for-data-scientists-and-data-analysts-69d93a05aae7 "https://towardsdatascience.com/fundamentals-of-statistics-for-data-scientists-and-data-analysts-69d93a05aae7")[](https://towardsdatascience.com/fundamentals-of-statistics-for-data-scientists-and-data-analysts-69d93a05aae7)

[**Understanding Bias-Variance Trade-Off, Overfitting and Regularization in Machine Learning**  
*Introduction to bias-variance trade-off, overfitting & how to solve overfitting using regularization: Ridge and Lasso…*towardsdatascience.com](https://towardsdatascience.com/bias-variance-trade-off-overfitting-regularization-in-machine-learning-d79c6d8f20b4 "https://towardsdatascience.com/bias-variance-trade-off-overfitting-regularization-in-machine-learning-d79c6d8f20b4")[](https://towardsdatascience.com/bias-variance-trade-off-overfitting-regularization-in-machine-learning-d79c6d8f20b4)

[**Monte Carlo Simulation and Variants with Python**  
*Your Guide to Monte Carlo Simulation and Must Know Statistical Sampling Techniques With Python Implementation*towardsdatascience.com](https://towardsdatascience.com/monte-carlo-simulation-and-variants-with-python-43e3e7c59e1f "https://towardsdatascience.com/monte-carlo-simulation-and-variants-with-python-43e3e7c59e1f")[](https://towardsdatascience.com/monte-carlo-simulation-and-variants-with-python-43e3e7c59e1f)

[**Data Sampling Methods in Python**  
*A ready-to-run code with different data sampling techniques to create a random sample in Python*tatev-aslanyan.medium.com](https://tatev-aslanyan.medium.com/data-sampling-methods-in-python-a4400628ea1b "https://tatev-aslanyan.medium.com/data-sampling-methods-in-python-a4400628ea1b")[](https://tatev-aslanyan.medium.com/data-sampling-methods-in-python-a4400628ea1b)

[**PySpark Cheat Sheet: Big Data Analytics**  
*Here is a cheat sheet for the essential PySpark commands and functions. Start your big data analysis in PySpark.*medium.com](https://medium.com/analytics-vidhya/pyspark-cheat-sheet-big-data-analytics-161a8e1f6185 "https://medium.com/analytics-vidhya/pyspark-cheat-sheet-big-data-analytics-161a8e1f6185")[](https://medium.com/analytics-vidhya/pyspark-cheat-sheet-big-data-analytics-161a8e1f6185)

[**Bias-Variance Trade-off in Machine Learning**  
*Introduction to bias-variance trade-off in Machine Learning and Statistical models*tatev-aslanyan.medium.com](https://tatev-aslanyan.medium.com/bias-variance-trade-off-in-machine-learning-7f885355e847 "https://tatev-aslanyan.medium.com/bias-variance-trade-off-in-machine-learning-7f885355e847")[](https://tatev-aslanyan.medium.com/bias-variance-trade-off-in-machine-learning-7f885355e847)

***Thanks for the read***

*Hope you will like these movies as much as I did. Though I usually write only about Data Science, Machine Learning, or other similar subjects, I thought this might be interesting for you too.*

*I encourage you to* [***join Medium***](https://tatev-aslanyan.medium.com/membership) *to have* *complete access to all my articles about various other topics. Follow me up on* [***Medium***](https://medium.com/@tatev-aslanyan) *to read more articles. You can reach me on* [***LinkedIn***](https://www.linkedin.com/in/tatev-karen-aslanyan/)***.***

***Enjoy the Movies!***
